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"Data Analytics Course"

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Are you interested in a fascinating career in data analysis? Arfi Technology offers online and offline Data Analytics courses in India, teaching you the vital skills needed to succeed in this field. As the digital economy expands, there is a growing need for data analysts, making it a great career option.

Our data analyst course, whether you're studying online or offline, provides you with the skills and knowledge you need to thrive in the data analysis field. You'll discover how to gather, tidy up, and examine data, and you'll also become skilled in using data visualization tools to share your insights.

 Data Analytics Course

Batch Details

Duration Timings
Batch - 1 9:00 AM to 11:00 AM
Batch - 2 11:00 AM to 01:00 PM
Batch - 3 01:00 PM to 03:00 PM
Batch - 4 03:00 PM to 05:00 PM
Batch - 5 05:00 PM to 07:00 PM

Course Fees

₹24,950/ -

(including GST)

Prepare for the future by taking our data analytics course, guided by experts.

Do you want to learn data analytics but don't know how to begin? Our data analytics course in India, available both online and offline, is designed for people like you who want to become experts in this field and boost their careers.

Our program teaches you the most up-to-date industry skills using experienced professionals. You'll get to work with Python, data science tools, data graphs, Microsoft Power BI, SQL, AI visuals, and more in our curriculum.

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 our data analysis course, besides regular classes, we provide hands-on projects where you can use what you've learned. This helps you get real-life experience and get ready for your future job.

Data analysts are needed a lot because many companies, big and small, create a ton of data. They want experts to gather, study, and explain this data so they can make smart decisions based on what they learn from it.

As we rely more on data to make decisions, we also need people who are good at analyzing data to help us understand it better. This is important because it helps us make smart choices based on the information we have. Also, because we use more smart computer programs like AI and machine learning, we need data analysts to teach these programs and make them work even better. This means there are more job opportunities for people who are good at analyzing data.

So, if you want to learn and do well in the digital world, now is a good time to improve your skills. You can sign up for free online or in-person classes for the best data analytics course available.

Arfi Technology certificate

Course Outline for Data Analytics (Updated to Meet Industry Standards)

Our curriculum is meticulously crafted, offering a comprehensive learning experience aligned with the latest industry trends and standards!

  • What is a programming language?
  • Python interpreter
  • Python versions
  • Advantages of Python language
  • Uses & applications of Python in different domains
  • Installation of Anaconda
  • Different ways to run Python code
  • Write your first Python program
  • Multiline Print Statement and 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
  • Iterations
  • Set methods

  • Introduction to tuples
  • Iterations
  • Function
  • Making tuples mutable

  • Creation of Dictionaries
  • Iterations
  • Dictionary Functions
  • Nested Dictionaries

  • Introduction
  • Types
  • Parameters
  • arguments
  • args kwags recursion

  • 3 Projects on Python

  • Introduction to Jupyter Notebook
  • Installing Jupyter Notebook
  • How to use Jupyter Notebook?
  • Introduction to Pandas
  • Installing Pandas
  • Pandas Series
  • Coding: Pandas Series
  • DataFrames I- Working with Columns
  • Pandas DataFrames- Working with Rows and Columns
  • Pandas DataFrames: Filtering Data
  • Coding: Filtering Data
  • Reading and Analysing CSV Files with Pandas
  • Coding: Reading and Analysing CSV Files
  • Reading Excel Files: GroupBy and Other Useful Operations
  • Working with Missing Data
  • Coding: Working with Missing Data
  • Test Your Knowledge: Pandas

  • Introduction to NumPy
  • 1-D Array
  • 2-D Array
  • Indexing
  • slicing
  • Concatenating
  • Broadcasting
  • Statistical functions
  • Arithmetic functions

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

  • Introduction to Python Visualization Libraries
  • Installing Plotly
  • Creating Scatter Plots
  • Creating Line Charts
  • Line Charts

  • Introduction to Power BI
  • Power BI Dashboard
  • Connectors

  • Basic Transformations in Power BI
  • Format Tool
  • Dealing with text tools
  • Dealing with Numerical Tools
  • 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 Relationships
  • Editing a Relationship
  • Cardinality and Cross-Filter Direction

  • 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

  • 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

  • Introduction to SQL
  • Installation
  • Datatypes in MySQL
  • Creation of a Database
  • Tables
  • Insert query
  • Select Query
  • Delete query
  • Update query

  • Joins in Database
  • Functions in Database
  • Advance concepts in DataBase

  • Introduction to MS Excel
  • Basic Functions of Excel
  • Sorting Data
  • Filtering Data
  • Basics of Formula/Functions
  • If Functions and text Functions
  • Date & Time Formula
  • COUNTIF, COUNTIFS, SUMIF, SUMIFS
  • Lookup and Information Functions
  • Using Conditional Formatting
  • Macros
  • Summarising Data with Pivot Tables
  • Working with Slicers
  • Power Pivot / Power Query
  • Charts
  • Excel For Data Analytics
  • Data Visualization with Excel
  • Excel Dashboard

What Sets Arfi Technology Apart in Data Analyst Course?

Help system.

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.

Skilled Mentorship

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.

Placement Assistance

Live Data Analytics Classes

This online/offline data analytics course is not pre-recorded. We conduct live training where you interact with experts in real-time and learn from their expertise.

Engage in Real Project Work.

Hands-on Projects

Our data analytics course online/offline 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.

Career support is readily available

100% Job Assistance

Our online/offline 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.

Certification in Web Development Available

Data analytics Course Certification.

Our online/offline 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.


Arfi Technology owner Aqmal Arfi

"Secure your future with a career that's built to last!"

"We understand the profound impact we have on shaping your future, and we embrace this responsibility wholeheartedly. At Arfi Technology, we are committed to providing you with premier training, enriched by practical projects, to ensure your career is both successful and future-proof. Best wishes for your journey!"

Aqmal Arfi, Founder, Arfi Technology Pvt Ltd

Here’s what our amazing clients are saying

This is a clean and concise way to showcase their happy customers, and help prospects gain the assurance they need before investing.

Data Analytics 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/offline 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.

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/offline 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 fees in only INR 25,000.

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.

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.

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

You can enrol in our online/offline data analyst course by booking the free 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

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


It’s time for you to acquire the right programming set and grab the opportunities.

Enroll now in the best Python course in Jaunpur! !


  • 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