#1 Online Data Analytics Course in India (Become Data Analyst)

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Online Data Analytics Course (Learn Data Analysis)

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Want to pursue an enthralling career in data analysis? WsCube Tech’s online Data Analytics Course in India helps you acquire the essential skills to excel in this field. With the growth of the digital economy, the demand for data analysts is on the rise, making it an excellent career choice.

Our online data analyst course equips you with the right tools and techniques to succeed in the data analysis industry. You'll learn how to collect, clean, and analyse data, as well as use data visualisation tools to communicate your findings.

Book your demo class now to join the best course on data analysis and start your journey towards a fulfilling career!

Online Data Analytics Course

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Duration Timings
(Mon - Sat) 2 months 8:00 AM to 9:00 AM
(Mon - Sat) 2 months 6:00 PM to 7:00 PM
(Mon - Sat) 2 months 7:00 PM to 8:00 PM
(Mon - Sat) 2 months 8:00 PM to 9:00 PM

Data Analytics Course Fees


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Experience our demo class for just Rs. 499/- (refundable). Register now!

Get Future-Ready With Our Expert-Led Online Data Analytics Course

Are you interested in pursuing a career in data analytics but don't know where to start? Our online data analytics course in India is designed specifically for individuals who want to build their expertise in this exciting field and advance their careers.

We offer a comprehensive curriculum that covers the latest industry standards and technologies, taught by experienced industry experts. The highlights of our syllabus include working on Python programming, Data Science libraries, Data Visualization, Microsoft Power BI, SQL, AI visuals, and much more.

Our classes are live and interactive, providing learners with a hands-on learning experience and the opportunity to ask questions and receive real-time feedback.

In addition to regular classes during the course on data analysis, we also offer real-world projects that allow learners to apply their newfound knowledge and skills. Our data analytics training is designed to help learners gain practical experience and prepare for their future careers.

You must know that data analysts are in huge demand because organisations of all types and sizes generate vast amounts of data. They need professionals to collect, analyse, and interpret it to gain insights that drive informed decision-making.

As the importance of data-driven decision-making grows, so does the need for skilled data analysts who can turn raw data into actionable insights. Additionally, the increasing prevalence of artificial intelligence (AI) and machine learning (ML) technologies requires data analysts to help train and fine-tune these systems, further driving demand for their skills.

Hence, the right time to upskill and succeed in the digital economy is now. Register yourself for the demo classes of the best data analytics course online.

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Data Analytics Course Syllabus (Based on Latest Industry Standards)

Well-structured & comprehensive curriculum designed according to latest trends and industry standards!

  • Introduction to MS Excel and Beginner's Guide
  • Basic Functions of Excel Data
  • Validation in excel
  • Data Connectors in Excel
  • Using Conditional Formatting

  • Data model and importance of Data Modeling
  • Importing Data in Power Pivot
  • Cardinality and Filter Direction in Power Pivot
  • Hierarchy in Excel

  • Basics of Formatting in Excel
  • Sorting Data in Excel - Different Methods to Sort
  • Filtering Data in Excel
  • Dealing with Null Values
  • Dealing With duplicate Values
  • Trimming Whitespaces
  • Fixing Column Formats

  • Pivot Tables in Excel
  • Pivot Charts in Excel
  • Slicer in Excel
  • Buttons in Excel
  • Recorded Macros in Excel

  • Creating a Dashboard in Excel

  • Text Functions in Excel
  • If, AND and OR Functions in Excel
  • Date & Time Functions in Excel
  • COUNTIF, COUNTIFS, SUMIF, SUMIFS - Functions in Excel
  • Xlookup in Excel

  • Utilizing chatGPT to understand dataset and gain insights over objectives for analysis.
  • Using chatGPT to create outlines for key findings from the dashboard.
  • Using chatGPT for story-telling.

  • Power Query in MS Excel
  • Cleaning and Transformation in Power Query
  • Dealing with text tools in Power Query
  • Dealing with Numerical Tools in Power Query
  • Dealing with Date and Time in Power Query
  • Adding Conditional Columns to Power Query
  • Combine files Using Power Query

  • Introduction to SQL
  • Installation
  • Data Types in MySQL
  • Clauses in MySQL
  • Operators in MySQL
  • li>Set Operation
  • Group By
  • Having Clausue
  • Case Operators

  • Joins in Database
  • Stored Procedures
  • Window function
  • Subqueries
  • Common Table Expression
  • Views in MySQL
  • Using chatGPT to understand complex SQL questions and queries

  • Introduction to Power BI
  • Power BI Dashboard
  • Connectors

  • Introduction to DAX
  • Importance of DAX in Power BI
  • DAX Expressions
  • Steps to Create Calculated Columns in DAX
  • Creation of Measures in Power BI and its types
  • Understanding DAX syntax in Power BI
  • DAX Functions in Power BI
  • Date and Time Functions
  • Text Functions Using DAX
  • Logical Functions Using DAX
  • DAX Operators

  • Basic Transformations in Power BI
  • Format Tool
  • Dealing with text Tool
  • Dealing with Numerical Tool
  • Create a Table Using Power BI
  • Dealing with Date and Time
  • Pivoting and Unpivoting of data
  • Adding Conditional Columns

  • Merge queries and Append queries
  • Data model and importance of Data
  • Modeling
  • Manage Data Relationship
  • Editing a Relationship
  • Cardinality and Cross-Filter Direction

  • Introduction to Visuals in Power BI
  • Visualisation charts in Power BI
  • Filtering Options
  • Exploring Matrix Visuals
  • Filtering Data with Slicers
  • Number Cards and Text Cards
  • KPI Visuals
  • Modifying Colours in Charts And Visuals
  • Visualizing Data with Maps
  • Tree Map
  • Bookmarks and Buttons
  • Custom Power
  • Designing for Phone vs Desktop
  • Report Viewers

  • Introduction to AI visuals
  • Working with AI visuals
  • Analyse data with AI visuals

  • What is a programming language?
  • Python interpreter
  • Python version
  • Advantages of Python language
  • Uses & applications of Python
  • Installation of PyCharm
  • Different ways to run Python code
  • Write your first Python program
  • Multiline Print Statement
  • Comments in Python

  • Variables
  • Data Types
  • User-Input
  • Operators

  • Introduction to Conditional statement
  • Types

  • Types of Loops
  • For Loop
  • While Loop
  • Loops with a conditional statement
  • Infinite Loop
  • Nested Loop
  • Break and continue statement

  • Introduction to strings in Python
  • Indexing
  • Slicing
  • Iteration
  • String functions

  • Introduction to lists
  • Iteration
  • Slicing
  • List Functions

  • Introduction to Sets
  • Iteration
  • Set methods

  • Introduction to Tuples
  • Iteration
  • Function
  • Making tuples mutable

  • Creation of Dictionaries
  • Iteration
  • Dictionary Functions
  • Nested Dictionaries

  • Installing Jupyter Notebook
  • How to use Jupyter Notebook?/li>
  • Introduction to Pandas
  • Installing Pandas
  • DataFrames I- Working with Columns
  • Pandas DataFrames- Working with Rows and Columns
  • Pandas DataFrames: Filtering Data
  • Reading and Analysing CSV Files with Pandas
  • Reading Excel Files: GroupBy and Others Useful Operations
  • Working with Missing Data
  • Merging and Concatenating Files in Pandas
  • Dealing with duplicates in Pandas

  • Introduction to Numpy
  • 1-D Array
  • 2-D Array
  • Indexing
  • Slicing
  • Concatenating
  • Broadcasting
  • Statistical functions
  • Arithmetic functions

  • Introduction to Python Visualization Libraries
  • Installing Matplotlib
  • Creating Scatter Plots
  • Creating Line Charts
  • Line Charts
  • Creating Basic Bar Charts
  • Creating Grouped and Stacked Bar Charts
  • Creating Pie Charts
  • Pie Charts

  • Introduction to Python Visualization Libraries
  • Installing Seaborn
  • Creating Scatter Plots
  • Creating different types of Charts in Seaborn

  • BI Concepts
  • What is TABLEAUO Why Data Visualization?
  • Unique Features compared to Traditional
  • BI Tools
  • TABLEAU Overview & Architecture
  • File Types & Extensions

  • Desktop
  • Server
  • Publisher
  • Public
  • Reader

  • Area Chart
  • Bar Chart
  • Box Plot
  • Bubble Chart
  • Bump Chart
  • Bullet Graph
  • Circle Views
  • Dual Combination Chart
  • Dual Lines Chart
  • Funnel Chart
  • Traditional Funnel Charts
  • Gantt Chart
  • Grouped Bar or Side by Side Bars Chart
  • Heatmap
  • Highlight Table
  • Histogram
  • Cumulative Histogram
  • Line Chart
  • Lollipop Chart
  • Pareto Chart
  • Pie Chart
  • Scatter Plot
  • Stacked Bar Chart
  • Text Label
  • Tree Map
  • Word Cloud
  • Waterfall Chart

  • Create a Dashboard
  • Format Dashboard Layout
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story

  • Data Connections in the Table
  • Interface
  • Connecting to Tableau Data Server
  • Types of Join
  • When to Use Joining
  • What is Data Blending
  • When to Use Data Blending
  • Joining vs. Blending
  • Creating Data Extracts in Table
  • Establishing a Connection
  • Creating an Extract

  • Filters. Applying Filters
  • Quick Filters
  • Sorting of Data
  • Creating Combined Fields
  • Creating Groups and Defining Aliases
  • Working with Sets and Combined Sets
  • Drill to Other Levels in a Hierarchy
  • Grand totals and Subtotals
  • Tableau Bins
  • Fixed Sized Bins
  • Variable Sized Bins
  • Creating and using Parameters
  • Exploring Parameter Controls Using parameters for titles, field selections,logic statements, Top X
  • Cross Tabs Pivot Tables
  • Page Trials
  • Total and Sub-Total
  • Dual Axis / Multiple Measures

  • Working with Strings, Date and Arithmetic
  • Calculations
  • Working with Aggregation Options
  • Working with Quick Table Calculations
  • Custom Calculated Fields
  • Logic and Conditional Calculations
  • Conditional Filters
  • Advanced Table Calculations
  • Understanding Scope and Direction
  • Calculate on Results of Table Calculations
  • Complex Calculations

Why Choose WsCube Tech for Data Analyst Course?

Experienced Mentors

Experienced Mentors

Our mentors have years of experience in the field and are committed to helping you achieve your career goals. We mentor you throughout the online data analytics course, ensuring that you become highly skilled in the field.

Dedicated Doubt Sessions

Dedicated Doubt Sessions

We understand that every learner has unique learning needs. That's why we offer dedicated sessions to clear your doubts. During the course on data analysis, you can ask your queries and get answers from our mentors.

Interactive Live Training

Interactive Live Training

This online data analytics course is not pre-recorded. We conduct live training where you interact with experts in real-time and learn from their expertise. Our approach ensures that you get the best learning experience.

Hands-on Projects

Hands-on Projects

Our data analytics course online includes hands-on experience. You will work on 20+ real-world projects that are relevant to the industry. This practical training helps you prepare for real-life scenarios and gain exposure.

Placement Assistance

Placement Assistance

Our online data analytics course with placement helps you build a successful career. We provide job assistance to help you get hired faster. We work with you to find the right job opportunities based on your skills & preferences.

Data Analytics Certification

Data Analytics Certification

Our online course on data analysis provides you with an industry-recognized professional certificate. This certificate adds value to your resume and enhances your credibility, making you stand out from the crowd.

Wscube Tech owner Kushagra bhatia

“It's time for you to future-proof your career!”

“We know that we are influencing the foundations of your future, and we take this responsibility very seriously. With WsCube Tech, I ensure that you always get top-class training backed by practical projects and future prospects. Wishing you a successful & future-proof career!”

Kushagra Bhatia, Founder, WsCube Tech

Hear From Our Happy Learners of Online Data Analysis Course!

We are proud to have positively influenced the career foundations for thousands of learners across India and Asian countries.



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Top Companies Hiring Data Analysts in India

Top Companies Hiring Data Analysts in India

Step Up Your Career with The Best Online Data Analytics Course in India! Book Demo Class Now!

Attend our demo classes for 2 days and learn how our data analytics course online can help you achieve your goals. Register now and take the first step towards success!

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Online Data Analyst Course FAQs

Yes, freshers can certainly learn data analytics. It is a field that is constantly evolving, and it is not uncommon for individuals to enter the field without any prior experience or knowledge.

In fact, our online data analytics courses in India are well-suited for beginners. We cover everything from the basics of data analytics.

No, our course is designed to be accessible to learners of all levels, and no prior knowledge or experience is required.

Yes, you will receive data analytics certification after successfully finishing the training.

Yes, data analytics is a great career choice for those interested in data, statistics, and technology. Data analysts are in high demand across a variety of industries, as businesses and organisations increasingly rely on data to drive decision-making and improve performance.

Data analytics offers a promising career path with opportunities for growth, career advancement, and high earning potential.

Yes, data analysts are in high demand in today's digital economy. With the explosion of data and the increasing need for businesses to use data to drive decision-making, data analysts play a critical role in helping organisations gain insights and stay competitive.

As a result, there is a significant demand for skilled data analysts across a variety of industries, including healthcare, finance, e-commerce, and technology, to name a few.

There are a wide range of career opportunities after the course on data analytics, including:

  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Data Engineer
  • Business Intelligence Analyst
  • Market Research Analyst
  • Quantitative Analyst
  • Database Administrator
  • Data and Analytics Manager
  • Big Data Analyst
  • Predictive Modeller
  • Financial Analyst
  • Fraud Analyst
  • Healthcare Data Analyst
  • Marketing Analyst
  • Customer Insights Analyst
  • Risk Analyst
  • These are just a few examples of the many career paths available in data analytics. With the right skills and knowledge, there are plenty of opportunities to build a successful and rewarding career in this field.

The average data analyst salary in India is around INR 6,00,000 to INR 8,00,000 per annum. However, this can vary based on location, company size, industry, skills, education, and job responsibilities.

In the United States, the average salary for a data analyst is around $62,453 to $96,000 per year. In the United Kingdom, the average salary for a data analyst is around £28,000 to £50,000 per year.

Yes. It is an online data analyst course with placement. We help our learners to find suitable employment opportunities.

A data analyst is a professional who analyses and interprets large volumes of data to identify patterns, trends, and insights that can be used to inform business decisions, improve performance, and drive growth.

Some common tasks of a data analyst include:

  • Collecting and processing data from various sources
  • Cleaning and preparing data for analysis
  • Analysing data using statistical and analytical tools like SQL, Python, Power BI, Excel, etc.
  • Creating visualisations, charts, and reports to communicate findings
  • Identifying patterns, trends, and insights in the data to inform business decisions
  • Making data-driven recommendations for improvements or optimisations
  • Developing and maintaining databases and data systems
  • Collaborating with other teams and stakeholders to drive business outcomes

Data analytics can be a valuable skill set for a wide range of professionals, including:

  • learners
    learners who are interested in a career in data analytics.
  • Business professionals
    Executives, managers, and other business professionals who need to make data-driven decisions.
  • IT professionals
    Developers, database administrators, and other IT professionals who need to work with data.
  • Marketing professionals
    Marketing analysts, digital marketers, and other marketing professionals who need to measure the effectiveness of their campaigns.
  • Financial professionals
    Financial analysts, accountants, and other financial professionals who need to analyse financial data.
  • Engineers
    Engineers who work with sensor data, machine data, or other types of data.
  • Anyone who is interested in working with data
    Anyone interested in data and who wants to learn how to analyse it can benefit from learning data analytics.

Many companies across a wide range of industries are hiring for data analyst roles. Some of the top companies include:

  • Amazon
  • Microsoft
  • Facebook
  • Google
  • Apple
  • IBM
  • Accenture
  • Deloitte
  • KPMG
  • McKinsey & Company

In addition to these large tech and consulting firms, many smaller companies and startups are also hiring data analysts as they recognise the value of data-driven decision-making.

Industries such as finance, healthcare, retail, and manufacturing are all using data analytics to improve their operations and products, and as a result, they are hiring for data analyst roles.

There are also many online job boards and staffing agencies that specialise in placing data analysts in various industries and job functions. So if you are interested in this career, there are many opportunities available across a wide range of industries and company sizes. Join our best online data analytics course in India now to get started!

The data analyst course is a training program designed to equip learners with the essential skills and knowledge needed to analyse and interpret data in the digital economy.

This online data analyst course will equip you with the necessary skills and knowledge needed to succeed in the industry, making you an attractive candidate to potential employers.

Our course is taught by industry experts with extensive experience in the data analysis field.

The course includes hands-on 20+ projects that will allow you to apply the skills and knowledge you've learned in a practical setting.

The course duration is 2 months.

There are no prerequisites or fixed requirements for this training. Anyone interested in learning data analytics can join our course.

Yes, our course is available to learners all over the country, as long as they have access to a stable internet connection.

You can enrol in our online data analyst course by booking the demo class. Our team will be in touch with you for further assistance.

The subjects covered in our data analytics course in India include:

  • Python Programming
  • Data science libraries
  • Data analysis
  • Data visualisation
  • Microsoft Power BI
  • Data modelling
  • AI visuals
  • SQL (basic to advanced)
  • Advanced MS Excel

Power BI is a powerful business intelligence and data visualisation tool developed by Microsoft. It allows users to connect to a wide range of data sources, transform and model the data, and create interactive reports, dashboards, and visualisations.

With Power BI, users can easily analyse and understand data to gain insights and make informed decisions. It is widely used by businesses, data analysts, and data scientists to collect, analyse, and present data in an effective and visually appealing way. Power BI also provides a variety of features for collaboration, sharing, and data security.

SQL (Structured Query Language) is a fundamental tool in data analytics. It is a programming language that is used to communicate with relational databases, such as MySQL, Oracle, and SQL Server. SQL is used to extract, manipulate, and analyse data stored in databases.

In data analytics, SQL is used to perform various tasks, including:

  • Data Retrieval
  • Data Transformation
  • Data Analysis
  • Data Management

Data visualisation is the graphical representation of data and information in a way that is easy to understand and interpret. It is the process of turning data into visual elements such as charts, graphs, maps, and other visual representations that allow viewers to quickly and easily comprehend complex information.

The primary goal of data visualisation is to communicate information clearly and effectively, so that viewers can gain insights and make informed decisions. It helps to reveal patterns, trends, and relationships in data that might not be immediately obvious in text or table format.

The Future is Here. Learn Data Analytics to Excel in Your Career!

WsCube Tech is the best platform for online data analysis courses in India.

Book your demo class now!

  • Python Programming
  • Data science libraries
  • Data analysis
  • Data visualisation
  • Microsoft Power BI
  • Data modelling
  • AI visuals
  • SQL (basic to advanced)
  • Advanced MS Excel
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • DAX Functions
  • Dashboard creation
  • Database creation
  • Summarising data with pivot tables
  • 20+ projects

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