Data Analytics Course in Pune

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Data Analytics Training in Pune

Enroll in Ethan’s Data Analyst Course in Pune to acquire the skills and knowledge essential for success in data analytics. Our extensive program covers the latest tools and techniques, including SQL, Excel, and Python for data handling, as well as Tableau, Power BI, and Alteryx for data visualization. Gain the expertise to tackle real-world business challenges using a variety of data analytics tools. Join our data analytics courses in Pune today and embark on your journey to becoming a proficient data analyst. At Ethan’s, we provide hands-on training with real-world datasets, ensuring you get practical experience alongside theoretical knowledge. Our experienced instructors, who are industry experts, will guide you through complex data analysis processes, making sure you understand every concept thoroughly.

Choose top-rated data analytics classes near me and enroll in a data analyst course near me to boost your skills and career prospects.

Student workload: 700 Hours | Duration: 6 months | Training Mode: Classroom/Online
Register to confirm your seat. Limited seats are available.

About the course

About Data Analytics

What is Data Analytics all about?

Data analytics involves the systematic computational analysis of data. It is used to discover patterns, correlations, and trends in data, and to extract valuable insights that inform decision-making. Here’s a deeper look into what data analytics entails:

1. Data Collection

Data analytics begins with gathering data from various sources. This data can be structured (e.g., databases, spreadsheets) or unstructured (e.g., text, images).

2. Data Cleaning

Raw data often contains errors, duplicates, or inconsistencies. Data cleaning involves preprocessing the data to correct or remove these issues, ensuring the data is accurate and ready for analysis.

3. Data Exploration

This step involves initial data examination to understand its structure, distribution, and key characteristics. Tools like descriptive statistics and data visualization techniques are used to summarize the data.

4. Data Analysis

The core of data analytics, this stage uses various techniques to delve deeper into the data:

  • Descriptive Analytics: Summarizes past data to understand what happened.
  • Diagnostic Analytics: Examines data to determine why something happened.
  • Predictive Analytics: Uses historical data to make predictions about future events.
  • Prescriptive Analytics: Recommends actions based on the data analysis.

5. Data Visualization

Data visualization involves creating visual representations of the data, such as charts, graphs, and dashboards, to make the insights more accessible and understandable.

6. Data Interpretation

Interpreting the results of the analysis is crucial. It involves drawing meaningful conclusions and making data-driven decisions.

7. Reporting

The final insights are compiled into reports that communicate the findings to stakeholders, helping them understand the data and take informed actions.

Which are the different types of Data Analytics?

Data Analytics majorly have 4 verticals, which are

  1. Descriptive Analytics: It helps the organizations or developers answer the various questions regarding the happenings or the situations
  2. Diagnostic Analytics: It helps the developers and the organizations to understand why the situation occurred or why it happened.
  3. Predictive Analytics: It helps organizations understand the trend and predict what will happen in the future.
  4. Prescriptive Analytics: It helps the organizations know what steps should be taken to the situations and happenings which might occur in the future.

Why choose Ethans Tech for Data Analytics Course?

1. Comprehensive Curriculum: Ethans Tech offers a well-rounded Data Analytics course covering essential topics such as data handling, statistical analysis, machine learning, data visualization, and more. Our curriculum is designed to provide both theoretical knowledge and practical skills.

2. Expert Instructors: Learn from industry experts with extensive experience in data analytics. Our instructors bring real-world insights and hands-on expertise to the classroom, ensuring you receive top-notch education and mentorship.

3. Hands-on Learning: Our course emphasizes practical learning through real-time projects, case studies, and interactive sessions. You’ll work on real-world datasets and apply your skills to solve practical problems, making you industry-ready.

4. State-of-the-Art Resources: Gain access to cutting-edge tools and technologies used in the data analytics field. From software like Python and R to libraries such as Pandas, NumPy, and Matplotlib, you’ll be well-equipped with the resources needed for success.

5. Industry-Relevant Certifications: Earn a certification from Ethans Tech, recognized and valued by employers in the industry. Our partnerships with leading organizations and institutions add further credibility to your credentials.

6. Flexible Learning Options: We offer both online and offline training options to suit your schedule and learning preferences. Whether you prefer the convenience of online learning or the interactive experience of classroom sessions, we have you covered.

7. Strong Placement Support: Benefit from our robust placement support services, including resume building, interview preparation, and job placement assistance. Our dedicated placement team works tirelessly to connect you with top employers in the industry.

8. Proven Track Record: Ethans Tech has a reputation for excellence in IT training. Our alumni have gone on to secure prominent positions in leading companies, and our courses are highly rated for their quality and effectiveness.

9. Continuous Learning and Support: Stay updated with the latest trends and advancements in data analytics through our continuous learning programs. We offer workshops, webinars, and alumni support to keep you ahead in your career.

10. Community and Networking: Join a vibrant community of learners, alumni, and professionals. Engage in networking opportunities, participate in events, and be part of a supportive ecosystem that fosters growth and collaboration.

Choose Ethans Tech for your Data Analytics course and embark on a journey to become a skilled and sought-after data analytics professional.

How Ethans provide the training?

1. Expert-Led Instruction: Our courses are taught by industry experts with extensive experience in their respective fields. Instructors bring real-world knowledge and practical insights to ensure you receive high-quality education.

2. Comprehensive Curriculum: Each course is meticulously designed to cover all necessary concepts, tools, and technologies. The curriculum is regularly updated to keep pace with industry trends and advancements.

3. Hands-On Learning: We emphasize practical, hands-on training. You will work on real-time projects, case studies, and exercises that simulate actual industry scenarios, helping you apply theoretical knowledge in a practical context.

4. Interactive Classes: Our training sessions are highly interactive, encouraging active participation from students. Whether online or offline, you’ll engage in discussions, Q&A sessions, and collaborative activities.

5. Flexible Learning Options: Ethans Tech offers both online and offline training options to cater to different learning preferences and schedules. Online classes provide the flexibility to learn from anywhere, while offline classes offer a traditional classroom experience.

6. State-of-the-Art Tools and Technologies: Students get access to the latest tools and technologies relevant to their field of study. This includes software, programming languages, and analytical tools essential for modern IT and data analytics roles.

7. Real-Time Projects: You will work on real-time projects that reflect current industry challenges and requirements. These projects help you build a robust portfolio and demonstrate your skills to potential employers.

8. Continuous Assessment and Feedback: Our training includes regular assessments through quizzes, assignments, and projects. Instructors provide continuous feedback to help you improve and stay on track with your learning goals.

9. Support and Mentorship: Students receive ongoing support and mentorship from instructors and peers. Our community is dedicated to helping each other succeed, providing guidance and assistance whenever needed.

10. Placement Assistance: Ethans Tech offers robust placement support, including resume building, interview preparation, and job placement services. Our dedicated placement team works to connect you with leading employers in the industry.

11. Certification: Upon successful completion of the course, students receive a certification from Ethans Tech, recognized and valued by employers. This certification validates your skills and knowledge in the respective field.

12. Alumni Network: Join a growing network of Ethans Tech alumni who have successfully transitioned into prominent roles in the industry. Benefit from networking opportunities, events, and continuous learning resources.

By combining expert instruction, practical experience, and robust support, Ethans Tech ensures you are well-prepared to excel in your chosen field.

Syllabus

Data Analytics Classes in Pune

Syllabus for Data Analytics Course at Ethans

Introduction to Computer Programming (Python)

  • Programming Foundation Concepts: Basic Terminology, Data Types and Variables, Operators and Expressions, Control Structures, Functions and Procedures, Recursion, Basic Algorithms
  • Object-Oriented Concepts: Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction, Method Overriding, Constructor and Destructor
  • Getting Started with Python: History of Python, Python Features, Python 2 vs Python 3, Installing Python, Running Python Scripts, Python Syntax and Semantics, Python Development Environments
  • Python Installation and Setup: Python 3.X Installation Guide, Introduction to Anaconda Python, IDEs: Jupyter Notebook, PyCharm, and VS Code, Setting Up Virtual Environments, Package Management with pip and conda
  • Python Built-in Objects: Numbers (int, float, complex), Strings, Lists, Tuples, Sets, Dictionaries, Type Conversion
  • Control Flow in Python: Conditional Statements (if, elif, else), Looping Statements (for, while), Nested Loops, Loop Control Statements (break, continue, pass), Comprehensions (List, Dict, Set), Conditional Expressions
  • Functions in Python: User Defined Functions, Lambda Functions, Function Arguments (default, keyword, arbitrary), Return Statement, Recursion, Built-in Functions, Higher-Order Functions
  • String Handling in Python: String Creation and Operations, String Methods, String Formatting, Regular Expressions, String Slicing, Escape Characters, Unicode Strings
  • Data Structures in Python: List Operations and Methods, Dictionary Operations and Methods, Set Operations and Methods, Tuple Operations and Methods, Working with Stacks and Queues, Comprehensions, Collections Module
  • File Handling in Python: Reading and Writing Files, File Methods, File Modes, Handling Binary Files, Working with CSV Files, Context Managers, File Path Operations
  • Python Libraries and Modules: Standard Library Overview, Commonly Used Libraries (os, sys, math, datetime), Importing Modules, Creating User Defined Modules, User Defined Packages, Working with init.py, Packaging and Distribution (whl Packaging)
  • Advanced Python Concepts: Object Oriented Python, Exception Handling, Debugging Techniques, Iterators and Generators, Decorators, Context Managers, Metaprogramming
  • Database Interface with Python: Introduction to Databases, SQLite in Python, CRUD Operations, Connecting to Sqlite, Database Connection Pooling, Handling Transactions
  • Working with Data Formats: Introduction to JSON Data, Parsing JSON, Creating JSON, Working with XML, Using CSV Module, pickle Module for Serialization, YAML Format
  • Web Programming with Python: Requests Module, Web Scraping with BeautifulSoup, Using Scrapy for Advanced Scraping, Working with APIs
  • Numerical Computation with Numpy: Introduction to Numpy, Numpy Arrays, Array Indexing and Slicing, Array Operations, Broadcasting, Numpy Functions, Working with Matrices
  • Data Manipulation with Pandas: Introduction to Pandas, Series and DataFrame, Reading and Writing Data, Data Cleaning, Data Transformation, Merging and Joining, Data Aggregation
 
Introduction to RDBMS Database (SQL)
  • Introduction of RDBMS: Definition of RDBMS, Characteristics of RDBMS, Advantages of using RDBMS, Data Models in RDBMS, Keys in RDBMS (Primary Key, Foreign Key), RDBMS vs. NoSQL, Popular RDBMS Software
  • Installing and Using MySQL: System Requirements for MySQL, Downloading and Installing MySQL, Configuring MySQL Server, MySQL Workbench Overview, Connecting to MySQL Server, Basic MySQL Commands, MySQL User Management
  • Querying Single Table: SELECT Statement Basics, Filtering Data with WHERE Clause, Sorting Data with ORDER BY Clause, Using LIMIT to Restrict Rows, Aggregation Functions (COUNT, SUM, AVG), Grouping Data with GROUP BY, Handling NULL Values
  • Modifying Data and Table Structures: Inserting Data (INSERT INTO), Updating Data (UPDATE), Deleting Data (DELETE), Modifying Table Structure (ALTER TABLE), Dropping Tables and Databases, Adding and Removing Columns, Renaming Tables and Columns
  • Querying Multiple Tables: Introduction to Joins, Inner Join, Left Join, Right Join, Full Outer Join, Cross Join, Using Aliases for Table Names
  • Constraints of SQL: Primary Key Constraints, Foreign Key Constraints, Unique Constraints, Not Null Constraints, Check Constraints, Default Constraints, Enforcing Constraints in MySQL
  • Importing and Exporting Data: Importing Data from CSV Files, Exporting Data to CSV Files, Using MySQL Workbench for Import/Export, Using LOAD DATA INFILE, Using SELECT INTO OUTFILE, Data Formats for Import/Export, Handling Errors During Import/Export
  • Working With Expressions: Arithmetic Expressions, String Expressions, Date and Time Expressions, Logical Expressions, Conditional Expressions (CASE), Using Functions in Expressions, Combining Expressions
  • Database Normalization: Introduction to Normalization, First Normal Form (1NF), Second Normal Form (2NF), Third Normal Form (3NF), Boyce-Codd Normal Form (BCNF), Advantages of Normalization, Denormalization
  • Grouping and Summarizing Data: Using GROUP BY Clause, Using HAVING Clause, Aggregate Functions (SUM, AVG, MAX, MIN), Counting Rows with COUNT, Grouping Sets and Rollup, Pivoting Data, Summarizing Data with Subqueries
  • Triggers & Cursor: Introduction to Triggers, Creating Triggers in MySQL, BEFORE and AFTER Triggers, Row-Level and Statement-Level Triggers, Managing Trigger Execution Order, Debugging Triggers, Use Cases for Triggers. Introduction to Cursors, Declaring Cursors in MySQL, Opening and Closing Cursors, Fetching Data with Cursors, Cursor Looping, Handling Exceptions in Cursors, Use Cases for Cursors
  • Functions: Built-in Functions in MySQL, String Functions (CONCAT, LENGTH), Numeric Functions (ROUND, CEIL), Date and Time Functions (NOW, DATE_ADD), Aggregate Functions (SUM, AVG), Creating User-Defined Functions, Using Functions in Queries
  • Designing and Creating a Database: Database Design Principles, Entity-Relationship (ER) Modeling, Creating ER Diagrams, Defining Tables and Relationships, Choosing Data Types, Setting Up Primary and Foreign Keys, Implementing Business Rules with Constraints
  • Exploring and Processing on Data: Data Exploration Techniques, Descriptive Statistics in SQL, Data Cleaning and Transformation, Data Integration from Multiple Sources, Using Subqueries for Data Processing, Analyzing Data Patterns, Using SQL for Data Reporting
  • Advanced Querying Techniques: Subqueries and Nested Queries, Common Table Expressions (CTEs), Window Functions, Recursive Queries, Dynamic SQL, Query Optimization Techniques, Advanced Join Operations.

 

Microsoft Excel

  • Introduction to Excel: Excel Interface Overview, Navigating the Ribbon, Understanding Worksheets and Workbooks, Creating and Saving Workbooks, Data Entry and Editing, Customizing the Quick Access Toolbar, Excel File Formats
  • Basics of Excel: Basic Data Types (Numbers, Text, Dates), Basic Excel Operations (Copy, Cut, Paste), Autofill and Flash Fill, Sorting and Filtering Data, Basic Cell Formatting (Font, Color, Alignment), Using the Clipboard, Adjusting Column Width and Row Height
  • Excel Formula: Basic Arithmetic Formulas (SUM, SUBTRACT, MULTIPLY, DIVIDE), AutoSum Function, Cell References (Relative, Absolute, Mixed), Common Statistical Functions (AVERAGE, MEDIAN, MODE), Text Formulas (CONCATENATE, LEFT, RIGHT), Date Formulas (TODAY, NOW, DATE), Logical Formulas (IF, AND, OR)
  • Formula Based Formatting: Conditional Formatting Rules, Highlighting Cells Based on Values, Data Bars, Color Scales, and Icon Sets, Custom Conditional Formatting, Managing Conditional Formatting Rules, Using Formulas in Conditional Formatting, Applying Conditional Formatting to Pivot Tables
  • Conditional Statements & Logical Operators: IF Statements, Nested IF Statements, AND, OR Operators, NOT Operator, Combining Multiple Conditions, Using IF with Text, Numbers, and Dates, Conditional Formatting with Logical Operators
  • Text Functions: CONCATENATE (or CONCAT), LEFT, RIGHT, MID, LEN and TRIM, UPPER, LOWER, PROPER, SUBSTITUTE and REPLACE, FIND and SEARCH, TEXT Function for Formatting Numbers and Dates
  • Date and Time Functions: TODAY and NOW, DATE and TIME, DAY, MONTH, YEAR, HOUR, MINUTE, SECOND, DATEDIF, NETWORKDAYS, EDATE and EOMONTH
  • Excel Tables: Creating and Formatting Excel Tables, Table Styles and Options, Sorting and Filtering Tables, Adding and Removing Table Rows/Columns, Structured References, Table Calculations and Totals, Converting Table to Range
  • Basic and Advanced Table Operations: Creating Dynamic Tables, Using Table Formulas, Advanced Filtering Techniques, Using Slicers with Tables, Advanced Sorting Techniques, Working with Subtotals, Merging and Splitting Tables
  • Data Pivoting with Different Examples: Creating PivotTables, PivotTable Fields and Areas, Grouping Data in PivotTables, PivotTable Calculations (Sum, Count, Average), Creating Pivot Charts, Filtering PivotTables with Slicers and Timelines, Advanced PivotTable Techniques (Calculated Fields, Custom Calculations)
  • Cell Reference Functions: Understanding Cell References, Using Relative References, Using Absolute References, Mixed References, INDIRECT Function, OFFSET Function, Linking Cells Between Sheets and Workbooks
  • LookUp and VLookUp: Introduction to LookUp Functions, VLOOKUP Basics, HLOOKUP Basics, Using VLOOKUP with Exact and Approximate Match, Combining VLOOKUP with Other Functions, Common VLOOKUP Errors and Fixes, Alternatives to VLOOKUP (INDEX and MATCH)
  • Excel Data Visualization: Creating Basic Charts (Column, Line, Pie), Customizing Chart Elements (Titles, Legends, Labels), Using Sparklines for Miniature Charts, Creating Combo Charts, Using Conditional Formatting for Data Visualization, Creating Heat Maps, Using Data Bars and Color Scales
  • Basic Charts in Excel: Creating Column Charts, Creating Line Charts, Creating Pie Charts, Creating Bar Charts, Creating Area Charts, Creating Scatter Plots, Customizing Chart Types and Styles
  • Formatting Charts: Adding and Formatting Chart Titles, Customizing Axes (Titles, Scales, Gridlines), Formatting Data Series (Colors, Styles), Adding Data Labels and Legends, Applying Chart Styles and Themes, Using Templates for Charts, Interactive Charts with Form Controls
  • Introduction to Power Query: What is Power Query?, Power Query Interface Overview, Loading Data into Power Query, Basic Data Transformation (Filter, Sort, Remove Columns), Combining Data from Multiple Sources, Data Profiling in Power Query, Saving and Loading Data to Excel
  • Creating Reports in Excel with Dataset: Data Preparation and Cleaning, Using PivotTables for Reports, Combining Multiple Data Sources, Adding Visual Elements (Charts, Sparklines), Creating Interactive Dashboards, Automating Report Updates, Distributing and Sharing Reports
  • VBA and Macros: Introduction to VBA and Macros, Recording and Running Macros, Editing Macro Code, VBA Basics (Variables, Loops, Conditionals), Writing Custom Functions, Automating Tasks with VBA, Debugging and Error Handling in VBA
  • Power Query Editor: Navigating the Power Query Editor, Applying Basic Transformations (Replace Values, Remove Duplicates), Advanced Transformations (Pivot/Unpivot, Group By), Creating Custom Columns, Merging Queries, Appending Queries, Managing Query Steps

 

Power BI Tools

  • Introduction to Power BI: Overview of Power BI and its components, Power BI service vs. Power BI Desktop, Benefits of using Power BI for data analytics, Key features and capabilities of Power BI, Understanding the Power BI ecosystem, User interface and navigation, Basic concepts and terminology in Power BI
  • Installation of Power BI Desktop: System requirements for Power BI Desktop, Step-by-step installation guide, Initial setup and configuration, Updating Power BI Desktop, Troubleshooting common installation issues, Licensing and subscription options, Importing sample datasets for practice
  • Connecting Power BI with Other Sources: Supported data sources in Power BI, Connecting to databases, cloud services, and files, Data import methods and best practices, Managing data connections, Data refresh and scheduling, Handling data privacy and security, Using Power BI gateways
  • Basic Visualization in Power BI: Types of visualizations available in Power BI, Creating basic charts and graphs, Customizing visualizations (colors, labels, titles), Using slicers and filters, Creating and managing dashboards, Adding interactivity to visualizations, Publishing and sharing reports
  • Formatting Techniques in Power BI: Customizing themes and templates, Conditional formatting in tables and charts, Using data labels and tooltips, Applying custom visuals and shapes, Enhancing report aesthetics with backgrounds and images, Formatting numbers, dates, and text, Best practices for report layout and design
  • Advanced Visualization in Power BI: Using advanced chart types (waterfall, funnel, gauge), Creating and using bookmarks, Implementing drill-through functionality, Using custom visuals from the marketplace, Creating dynamic visualizations with DAX, Advanced interactivity techniques, Combining multiple visualizations in a single report.
  • Introduction to Power Query: Overview of Power Query and its interface, Connecting to various data sources, Understanding the M language, Basic data import and transformation, Using the query editor for data preparation, Managing and combining queries, Best practices for efficient data queries

 

Tableau Tools

  • Tableau Basics: Introduction to Tableau and its components, Tableau Desktop vs. Tableau Public, Key features and benefits of Tableau, Understanding the Tableau interface, Basic concepts and terminology in Tableau, Connecting to data sources, Creating your first visualization
  • Design Features: Overview of Tableau design principles, Customizing visualizations (colors, labels, titles), Using shapes and images in dashboards, Applying themes and templates, Formatting numbers, dates, and text, Enhancing aesthetics with backgrounds and borders, Best practices for dashboard design
  • Time Series Analysis: Understanding time series data, Creating time series visualizations, Using date functions in Tableau, Time series forecasting, Analyzing trends and seasonality, Implementing moving averages and running totals, Comparing time periods
  • Aggregation and Granularity: Understanding aggregation in Tableau, Adjusting granularity of data, Using calculated fields for aggregation, Aggregating data in visualizations, Customizing aggregation settings, Drilling down and rolling up data, Aggregation best practices
  • Filters: Types of filters in Tableau, Applying filters to visualizations, Using quick filters and filter actions, Creating dynamic and cascading filters, Managing filter hierarchies, Filter optimization techniques, Best practices for using filters
  • Maps and Scatter Plots: Creating and customizing maps, Using geographic data in Tableau, Implementing map layers and controls, Creating scatter plots and bubble charts, Analyzing data with scatter plots, Adding interactivity to maps and scatter plots, Combining maps with other visualizations
  • Joining and Union: Understanding joins and unions in Tableau, Types of joins (inner, left, right, full), Performing data joins in Tableau, Using unions to combine datasets, Managing data relationships, Handling data blending, Best practices for joins and unions

 

Alteryx Tools

  • Introduction to Alteryx: Overview of Alteryx, Key Features and Benefits, Use Cases and Applications, Comparison with Other Data Analytics Tools, Alteryx Designer Interface, Licensing and Pricing, Alteryx Community and Resources
  • Installation of Alteryx: System Requirements, Step-by-Step Installation Guide,Post-Installation Configuration, Licensing and Activation, Troubleshooting Common Installation Issues, Updating Alteryx, Uninstalling Alteryx
  • In/Out Tools: Input Data Tool, Output Data Tool, Directory Tool, Text Input Tool, Download Tool, SharePoint Input Tool, Blob Input Tool
  • Preparation Tools: Data Cleansing Tool, Filter Tool, Select Tool, Sort Tool, Sample Tool, Unique Tool, Generate Rows Tool
  • Join Tools: Join Tool, Union Tool, Find Replace Tool, Append Fields Tool, Make Group Tool, Fuzzy Match Tool, Spatial Match Tool
  • Transform Tools: Cross Tab Tool, Transpose Tool, Formula Tool, Multi-Field Formula Tool, Running Total Tool, Tile Tool, Imputation Tool
  • Reporting Tools: Table Tool, Charting Tool, Layout Tool, Render Tool, Report Map Tool, Text Box Tool, Email Tool
  • Documentation Tools: Comment Tool, Tool Container, Block Until Done Tool, Message Tool, Summarize Tool, Tool Annotation, Metadata Output Tool
  • In-Database Tools: Connect In-DB Tool, Data Stream In Tool, Filter In-DB Tool, Formula In-DB Tool, Join In-DB Tool, Summarize In-DB Tool, Write Data In-DB Tool
  • Full Workflow: Designing a Workflow, Best Practices for Workflow Management, Debugging and Error Handling, Workflow Automation, Performance Optimization, Sharing and Collaboration, Real-world Workflow Examples

     

R Programming

  • Introduction to the R Language: History of R, Applications of R, Comparison with Other Programming Languages, R Community and Ecosystem, R Packages and Libraries, Integrated Development Environments (IDEs) for R, Future of R Language
  • Features of R: Data Handling Capabilities, Statistical Analysis Features, Graphical Capabilities, Extensibility, Open Source Nature, Integration with Other Languages and Tools, Comprehensive Package Repository (CRAN)
  • Download and Install R: System Requirements, Downloading R from CRAN, Installing R on Windows, Installing R on MacOS, Installing R on Linux, Setting Up RStudio IDE, Verifying Installation
  • Basic Syntax of R: Writing R Scripts, R Console Operations, Basic Commands and Functions, Comments in R, Working with R Scripts and R Markdown, Code Indentation and Formatting, Common Errors and Debugging
  • Variables in R: Variable Assignment, Variable Naming Conventions, Types of Variables, Scope of Variables, Constants in R, Using the ‘assign’ Function, Removing Variables
  • Data Types in R: Numeric Data Type, Integer Data Type, Complex Data Type, Character Data Type, Logical Data Type, Factors, Coercion and Conversion between Data Types
  • Operators in R: Arithmetic Operators, Relational Operators, Logical Operators, Assignment Operators, Miscellaneous Operators, Operator Precedence, Using Operators with Different Data Types
  • Control Statements in R: if Statement, if-else Statement, else-if Ladder, switch Statement, break Statement, next Statement, return Statement
  • Loops in R Programming: for Loop, while Loop, repeat Loop, Nested Loops, Loop Control Statements, Applying Functions with Loops, Performance Considerations with Loops
  • Data Structures in R Language: Vectors, Lists, Matrices, Arrays, Data Frames, Factors, Working with Complex Data Structures
  • Arrays and Vectors in R: Creating Arrays, Accessing Array Elements, Modifying Arrays, Creating Vectors, Accessing Vector Elements, Vectorized Operations, Applying Functions to Arrays and Vectors
  • DataFrames in R: Creating DataFrames, Accessing DataFrame Elements, Modifying DataFrames, Merging DataFrames, Reshaping DataFrames, DataFrame Functions, Handling Missing Data in DataFrames
  • R Graphics/Visualization: Base Graphics in R, ggplot2 Package, Lattice Graphics, Creating Various Types of Plots (Histogram, Boxplot, Scatter Plot, etc.), Customizing Plots, Interactive Visualizations, Saving and Exporting Plots
  • R Statistics Introduction: Descriptive Statistics, Inferential Statistics, Hypothesis Testing, Correlation and Regression Analysis, ANOVA, Time Series Analysis, Multivariate Analysis
  • R Data Sets: Built-in Data Sets in R, Importing Data from Various Sources (CSV, Excel, SQL, etc.), Cleaning and Preprocessing Data, Manipulating Data Sets, Exporting Data, Working with Large Data Sets, Data Set Packages (dplyr, data.table, etc.)

Features

Classroom Sessions

Ethans Pune provides highly professional and advanced training tailored to industry needs, with a strong emphasis on practical and project-based learning. Our program features interactive sessions with individual attention, online doubt-clearing sessions, and access to recorded backup sessions. Additionally, students benefit from a dedicated forum for addressing doubts and questions.

LMS (Learning Management System)

We offer free supplementary courses to enhance your learning and grasp the cross-functional demands of the industry. You will also have access to recorded sessions from your ongoing classes, along with study materials including assignments, projects, and POCs to guide you through your current modules.

Quiz, Assignments & POC's

Each course includes quizzes, hands-on assignments, and interview preparation tailored to each topic and module. Trainers provide assignments based on students' skill levels and project requirements, with an estimated duration of about an hour per day. These assignments focus on real-world company projects to ensure practical experience. Additionally, complementary study material is provided with every course.

Certification

We are ISO 9001:2015 certified institution. Our certificate is recognized by many top companies. The certificate is provided on an assessment by our industry experts which makes your curriculum vitae, a holistic one and marks an edge on your profile. Increase the weightage of your resume by obtaining a course completion certificate on successful completion of the course and projects.

Real-life Case Studies

Ethans offers a range of real-time projects with practical use cases, allowing students to gain hands-on experience. This approach helps students grasp business requirements, perform detailed analysis, and tackle challenges associated with real-time implementation. By working on these projects, students not only understand theoretical concepts but also apply them in real-world scenarios.

Job Assistance Program

On successfully completing a course with Ethans, you could be eligible for a job assistance program. Under this program we help students to build a perfect resume and optimize online profiles for job calls. Alumni group of 5000+ students help share the opportunities. 3000+ freshers/professionals received jobs in top companies in India or across India with good salary packages.

Data Analytics Classes in Pune FAQs

What are the prerequisites for Data Analytics Training in Pune?

The basic requirement for learning a Data Analytics course is Programming language, Data Structures and algorithms, and Mathematics

Who should learn Data Analytics Course in Pune?

Data Analytics Training is open to all students. As per our teaching experience teaching students from non-IT backgrounds can also learn this technology. Students in a class are mixed from 1 year of experience to 24 years of working experience. Even CA, CS, BCom, and Share Brokers, learning this skill for implementing the same into day-to-day activities. It’s the finest kick-off for the freshers and icing on the cake, for others.

What if I have queries after I complete this course?

You will have access to the technical discussion forum lifetime, which will help you in resolving most of your doubts and queries. Eventually, you can connect with your respective faculty directly, else reach out to the nearest Ethans help desk for further assistance.

Who are the instructors?

Our faculties are all extensively experienced IT Industry experts and real time corporate trainers from renowned MNC’s with marvelous knowledge in the subject matter. In addition to their standard duties of imparting knowledge, faculties also undertake consulting assignments for leading Indian and Multinational Companies that gives practical exposure based on real time scenarios from their world of experience. Ethanians that upskill are able to vividly recall classes even after years. Such is the impact of our remarkable trainers on the students.

Will Ethans be providing any study materials?

Yes, Ofcourse. You will be provided with both, hard copies of the study material upon enrollment and soft copies will be shared by the respective faculties over the cloud during the program.

What types of courses are available at Ethans?

Ethans is a Market leader in Cloud, Automation and Analytics (such as Python, Data Science – Machine Learning, Artificial Intelligence, AWS, Azure, GCP, DevOps, Hadoop, Selenium, Robotics Process Automation, etc.) helps working professionals and freshers in enhancing skills in multiple technologies as per the market demand.

Does Ethans provide Job Assistance?

Yes. Ethans being one of the top notch institutes, has a wide network in the market. We do have collaboration with multiple companies that helped 3000+ freshers to get place and working professionals to switch their domains in top companies across India. On course completion, one becomes eligible for the placement assistance.

Does Ethans provide weekend classes for professionals?

There are multiple institutes which are providing software training courses, but only Ethans offers professional training on various demanding technologies with flexible timings over the weekdays as well as on weekends depending on the requirements of working professionals.

What are the profiles and experiences of trainers at Ethans?

We have a big pool with a strong and renowned team of professionals having extensive expertise in the technology they deliver. Our trainers are quite supportive and render an amicable learning environment which invigorates the student’s growth in an optimistic way. They are all with huge industry and teaching experiences. Some of them hold more than two decades of experience of the same industry.

Do I need to pay the complete fee lump sum or I can have an installment facility too?

We are open for both, lump sum and installments. Best to pay it in one go, but we avail maximum two installments. First installment is to be cleared on the very first day of the class and the second one, within 21 days from the batch commencement date.

The fee which I will pay is refundable or transferable?

No. Fees once paid is non-refundable and non-transferable at any case, as we assure best training quality at Ethans Tech. We do not let go of any of our valuable students and ensure to deliver the quality that meets one’s requirements and is worth it. Each one of you is important to us.

What are the facilities and infrastructure at Ethans?

As of now, Ethans has presence at three locations in Pune (Pimple Saudagar/Kharadi/Baner) and in Noida as well. Looking forward to expanding gradually across India with all your support. Ethans has state-of-the-art-infrastructure that accelerates a pleasant and academically vigorous and stimulating environment for the students and the faculty.

Does Ethans provide Online Training?

Yes. Ethans renders Online training too. It’s a virtual and absolutely interactive training by the identical faculties that educate at our different branches with the help of a specific software which is best to intercommunicate online. You will be obtaining uniformly the same study material and assessment in online training as in the classroom. Educating yourself from Ethans Tech either by classroom or online means is the same, as the instructors don’t change. Now, it depends on the students, which mode to prefer based on their comfort levels.

Does Ethans provide facility to repeat the batch?

Upon enrollment at Ethans Tech, you receive a flexi pass that allows for a one-year re-joining option at the same branch and with the same trainer for an administrative charge of ₹5,000. Additionally, we provide online recorded sessions as backups. If you wish to change branches or courses, it is possible with nominal charges, subject to the institute’s norms and regulations.

Does Ethans provide Institutional Certification after the course?

Yes. Certificate is issued to the respective student, after the course completion and assessment which is valid in multiple companies and apparently, it becomes an edge in your curriculum vitae in order to showcase your skill set.

Does Ethan's conduct training at Corporates?

Yes, we are frequently engaged in corporate training being the market leader with a big pool of corporate trainers having a wide network with collaboration with several top MNC’S that ultimately becomes an add-on for placing our students with such references.

What is the admission procedure at Ethans?

Basically, there are two ways of registering with Ethans Tech, Online and Offline. In terms of Online, you just need to visit the enrollment tab on your website – www.ethans.co.in which will redirect you to the enrollment form, wherein you need to fill all your essential details and proceed further by paying Rs. 5000/- as the registration fees (inclusive of your standard course fees) For Offline admission, you can can contact and visit any of your nearest Ethans branch and carry out the further formalities under the guidance of the team at Ethans Desk.

 

Looking for Industry Expert Counseling?

We are a team of 10+ Years of Industry Experienced Trainers, who conduct the training with real-time scenarios. The Global Certified Trainers are Excellent in knowledge and highly professionals. The Trainers follow the Project-Based Learning Method in the Interactive sessions.

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Our Testimonials

Hi, it was a great and quality experience to upskill in Python with Ethans Tech. The program is well-designed, and the trainer was highly experienced, presenting concepts clearly with real-time scenarios. The admin team is very helpful and always available for any coding or software assistance. The comprehensive support and practical approach make Ethans Tech stand out. I highly recommend Ethans Tech for anyone looking to enhance their skills. They ensure that every student understands each topic clearly and are always ready to help.

    Renuka Gudela Palteru
    Renuka Gudela Palteru

    Sr. Team Manager at Gallagher

    The courses at Ethans Tech are premium and well-structured. The instructors are always available to clear queries and provide prompt support whenever issues arise. An added bonus is the access to software, study materials, and certification for each course you enroll in. I've taken multiple courses here, and each one has been excellent. The quality and consistency are impressive every time I enroll. I highly recommend Ethans Tech and appreciate their outstanding service. Love these guys—salute to their dedication!

      Upender Negi
      Upender Negi

      Network Design Specialist at BT, UK

      The training is marvelous, and we are about to start a POC that will help us implement real-time scenarios. Overall, the sessions are good and interactive. Thanks for organizing all the classes. I am immensely satisfied with the course content, which includes pre-recorded classes and eight months of post-class assistance from experts. I highly recommend Ethans Tech for its exceptional corporate learning and training in cutting-edge technologies, tools, and languages. It’s truly the best institute for professional growth.

        Priyanka Tomar
        Priyanka Tomar

        Consultant at Credit Suisse

        I am a final-year college student with a keen interest in Cloud Technology. In February 2020, I joined the Amazon courses training program at Ethans. This program provided me with 100% practical hands-on training, covering programming languages, Big Data Hadoop, AWS, Azure, and SQL Database. The comprehensive training prepared me well for internships and job opportunities. The instructors were knowledgeable, and the curriculum was highly relevant to industry needs. Ethans is truly one of the best institutes for acquiring essential skills.

          Gayatri Soni
          Gayatri Soni

          Intern at Ethans Tech

          It was a great learning experience at Ethans Tech. The teaching skills are pitched perfectly, and the trainers are well-experienced and motivational. They ensure that every student understands each topic clearly and are always ready to help. This dedication to student success is what sets them apart. Thanks a bunch, Ethans, for developing my interest in coding. I highly recommend Ethans Tech for anyone looking to enhance their skills. Overall, a fantastic learning experience! I am immensely satisfied with the course content

            Md Ashraf Khan
            Md Ashraf Khan

            Technical Service Engineer Expert, Fujitsu

            It was a great learning experience from Ethan's teaching Skills are pitched perfectly. The trainers were well Experienced and motivational. They always make sure that each and every student should be crystal clear with every topic, and they are always ready to help, this is what helps them offer the best service to their students. Thanks, a bunch of Ethans for developing my interest in coding.

              Anhadpreet Singh
              Anhadpreet Singh

              Student at Guru Nanak Dev Engineering College, Ludhiana

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