Data Analytics Courses in Raipur

Classroom • Live Online • Hybrid

Data analytics & AI training in raipur, covering Python, Machine Learning, Deep Learning, NLP, Generative AI, PySpark, Power BI, and Tableau. The program combines live expert-led sessions with practical, real-world projects and industry datasets to build job-ready skills. Designed for students and professionals, the training includes flexible learning options, advanced modules, hands-on capstone projects, and placement assistance to help learners prepare for evolving careers in Data Science, Analytics, and AI.

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Key Features

Course Duration : 5 Months

Live Projects : 4

Online Live Training

EMI Option Available

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Our Industry Expert Trainer

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.

Data Analyst Course in [Location]

Data Analytics Course with AI in Raipur

A structured learning program in data analytics and AI-enabled business intelligence is offered by 3RI Technologies. Through interactive instruction, practical experience, and real-world projects, our Data Analytics with AI Online Course aims to assist students in developing skills that are relevant to the industry. Data collection, cleansing, analysis, visualisation, reporting, and AI-assisted analytics are all covered in the program to help students get ready for contemporary data-driven jobs.

As businesses increasingly rely on data for planning, forecasting, customer understanding, and operational decision-making, professionals who can turn raw data into meaningful insights are becoming valuable across industries.

By enrolling in the Data Analytics with AI Course in Pune with Certification, learners can develop skills in Excel, SQL, Python, Power BI, Tableau, data visualization, reporting, Generative AI, and AI-assisted analytics workflows to support data-driven business decisions.

Why Choose 3RI Technologies for Data Analytics with AI?

3RI Technologies focuses on practical and career-oriented training designed to help learners develop both technical and analytical skills. The curriculum combines foundational concepts with hands-on assignments, real-world datasets, case studies, and projects to help students understand how analytics tools are applied in professional environments.

Beginners, students, recent graduates, working professionals, and career switchers who wish to build skills for a future in data analytics and related disciplines can all benefit from the curriculum.

Online Learning Program: The online program offers interactive instructor-led sessions, practical exercises, project-based learning, doubt-solving support, and career guidance. Learners can develop their skills remotely while working on analytics projects using commonly used industry tools.

Certification: 3RI Technologies Course Completion Certificate

Industry Projects: Practical Analytics Projects + Business Case Studies + Portfolio Development

Work on projects involving data cleaning, SQL analysis, Python-based data analysis, Power BI dashboards, Tableau visualization, business reporting, and AI-assisted analytics to build practical experience and strengthen your professional portfolio.

About Data Analytics With AI Course in Raipur

Build your potential with 3RI Technologies’ Data Analytics With AI Course in Raipur. Learn industry-relevant tools, gain practical experience through real-world projects, and develop the analytical and technical skills needed to pursue opportunities in the growing field of data analytics.

Industry Professional-Led Sessions: Learn from experienced trainers who provide practical guidance and explain analytics concepts through real-world examples and business use cases.

Project Portfolio: Create a portfolio that is ready for employment by working on real-world AI and data analytics projects that show how you can use data to solve business challenges.

Career Support: To help you approach pertinent analytics opportunities with confidence, get resume advice, practice interviews, interview preparation, and placement support.

Dedicated Peer Network: Interact with fellow learners, exchange ideas, discuss projects, and build professional connections throughout your learning journey.

Certification: Receive a 3RI Technologies course completion certificate after successfully completing the program, providing an additional credential to showcase your Data Analytics and AI skills.

Who Are Eligible for This Data analytics Course in Raipur?

Learners from a selection of educational and professional backgrounds who want to develop practical skills in data analytics and AI can enrolll in 3RI Technologies’ Data Analytics With AI Course in Raipur.

Aspiring Data Analysts & Business Analysts – Build the technical and analytical skills required to pursue entry-level roles in analytics and business intelligence.

Professionals from Non-Tech Backgrounds – Transition into data analytics by developing skills in Excel, SQL, Python, Power BI, Tableau, and AI-enabled analytics.

Business Professionals – Upskill with Data Analytics and AI skills to make data-driven decisions, improve reporting, and understand business performance.

Students & Freshers – Start building a foundation in analytics, visualization, programming, and AI through practical projects and real-world datasets.

Working Professionals & Career Switchers – Strengthen your existing profile or explore new opportunities in the growing field of data analytics and AI.

Exclusive Data analytics Course in raipur Offerings

Industry-Oriented Curriculum: Learn a structured curriculum covering relevant Data Analytics tools, techniques, and business applications.
Comprehensive Learning Content: Access organized learning resources to support your understanding, practice, and revision throughout the course.
Weekend Live Sessions: Participate in live weekend sessions created to give students and working professionals flexibility.
Capstone Project: Complete an end-to-end Data Analytics project that brings together the concepts and tools covered during training.
Practice Exercises: Strengthen your skills through practical exercises focused on data analysis, visualization, SQL, Python, Excel, and business intelligence.
Projects and Assignments: Work on projects and assignments that enable you to apply ideas to real-world business situations.
Live Doubt Resolution Sessions: Get your technical questions addressed through interactive doubt-solving sessions with trainers.
SME Support Sessions: Receive additional guidance from subject matter experts to strengthen your understanding of important analytics concepts.
Certification of Completion: Upon successfully finishing the program, obtain a 3RI Technologies course completion certificate.
Career Guidance & Interview Preparation: Get support with resume development, mock interviews, technical preparation, and career guidance for analytics roles.
Email Support: Get assistance with course-related queries, learning resources, assignments, and other training requirements.
Mentorship & Learning Support: Receive ongoing guidance throughout your learning journey to help you stay on track and make better progress.

Why Learn Data Analytics with AI in Raipur?

You can expand your knowledge in Excel, SQL, Python, Power BI, Tableau, statistics, data visualisation, and AI-assisted analytics with a contemporary Data Analytics with AI course in Raipur. Instead of learning analytics as a standalone technical skill, combining it with AI concepts can help you understand how modern tools are being used for analysis, automation, reporting, and business insights.

The goal is not simply to learn individual tools but to develop the ability to collect, clean, analyze, visualize, interpret, and communicate data, while using AI where it can improve productivity and analytical workflows.

Note: The figures above are global projections from the World Economic Forum’s Future of Jobs Report 2025, not guaranteed job openings or salaries specifically for Raipur. Local opportunities and compensation can vary by role, experience, company, and skill level.

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Data Analytics Course Syllabus

The detailed syllabus is designed for freshers as well as working professionals

Decade Years Legacy of Excellence | Multiple Cities | Manifold Campuses | Global Career Offers

Module 1: Fundamentals of Statistics & Data Analytics

1. Fundamentals of Data Science and Mathematical statistics
● Introduction to Data Science
● Need of Data Science
● BigData and Data Science
● Data Science and machine learning
● Data Science Life Cycle
● Data Science Platform
● Data Science Use Cases
● Skill Required for Data Science

2. Mathematics For Data Science
● Linear Algebra-Matrices
o Zero
o One
o Identify
o Diagonal
o Column
o Row
o Operations

3. Statistics for Data Science

● Structured and unstructured
● Measures of central tendency and dispersion
● Empirical Formula
● Confidence Interval
● Central Limit Theorem

4. Probability and Probability Distributions

● Probability Theory
● Conditional Probability
● Data Distribution
● Normal Distribution
● Binomial Distribution

5. Tests of Hypothesis
● Large Sample Test vs Small Sample Test
● One Sample: Testing Population Mean
● Hypothesis in One Sample z-test
● Two Sample: Testing Population Mean
● One Sample t-test – Two Sample t-test
● Chi-Square test

Module 2: MS Excel

1. Using a Spread sheet
● What is Excel?
● Why Use Excel?
● Excel Overview
● Excel Ranges, Selection of Ranges
● Excel Fill, Fill Copies, Fill Sequences, Sequence of Dates
● Excel adds, move, and delete cells
● Excel Formulas
● Relative and Absolute References

2. Functions
● SUM
● AVERAGE
● COUNT
● MAX & MIN
● RANDBETWEEN
● TRIM
● LEN
● CONCATENATE
● TODAY & NOW

3. Advanced Functions
● Excel IF Function
● Excel If Function with Calculations
● How to use COUNT, COUNTIF, and COUNTIFS Function?

4. Data Visualization
● Excel Data Analysis – Data Visualization
● Visualizing Data with Charts
● Chart Elements and Chart Styles
● Data Labels
● Quick Layout

Module 3: RDBMS: Basics of SQL

● An Introduction to RDBMS & SQL
● Data Retrieval with SQL
● Pattern matching with wildcards
● Basics of sorting
● Order by clause
● Aggregate functions
● Group by clause
● Having clause
● Nested queries
● Inner join
● Multi join
● Outer join
● Adding and Deleting columns
● Changing column name and Data Type
● Creating Table from existing Table
● Changing Constraints Foreign key

Module 4: Python for Data Analytics

1. An Introduction to Python
● Why Python , its Unique Feature and where to use it?
● Python environment Setup/shell
● Python Identifiers, Keywords

2. Conditional Statement ,Loops and File Handling
● Python Data Types and Variable
● Condition and Loops in Python
● Decorators
● Python Files and Directories manipulations

3. Python Core Objects and Functions
● String/List/Dictionaries/Tuple
● Python built in function
● Python user defined functions

4. Introduction to NumPy
● Array Operations
● Arrays Functions
● Array Mathematics
o Mean
o Standard Deviation
o Max
o Min
● Array Manipulation
o Reshaping
o Resizing
● Random function
● Transpose

5. Data Manipulation with Pandas
● Data Frames
● Series
● Creating Pandas DataFrame
● Selection in DFs
● Data Describe
● Data info
● Retrieving in DFs
● Reshaping the DFs – Pivot
● Combining DFs
o Merge
o Concatenation

6. Visualization with Matplotlib
● Matplotlib Installation
● Matplotlib Basic Plots & it’ s Containers
● Matplotlib components and properties
● Scatter plots
● Histograms
● Bar Graphs
● Pie Charts
● Box Plots

7. SciPy
● Hypothesis Testing using Scipy
● Shapiro Test
● Spearmaman Test
● T-Test of Independents
● Chi-Square Test

Module 5: Data Visualization with Power BI

Module 1: Introduction to Power BI
1. Introduction to Business Intelligence & Power BI
● Need for Business Intelligence
● Evolution of Power BI
● What is Power BI? Features & Components

2. Power BI Ecosystem
● Power BI Desktop
● Power BI Service
● Power BI Mobile
● Power BI Report Builder vs Paginated Reports

3. Installation & Setup
● Downloading Power BI Desktop
● Installing and configuring settings
● Exploring the start screen and workspace

4. Power BI Interface Overview
● Ribbon and Navigation Pane
● Report, Data, and Model views
● Fields Pane and Visualizations Pane

5. Supported Data Sources
● Excel, CSV, SQL Server, Web APIs
● Cloud sources: Azure, SharePoint, OneDrive
● Folder as a data source

Module 2: Data Loading and Transformation with Power Query
1. Connecting to Data
● Import vs DirectQuery
● Loading from Excel, CSV, Web, SQL Server
● Data Preview and Load options

2. Power Query Editor Overview
● Power Query UI walkthrough
● Applied Steps and Query Settings pane
● Understanding queries and query dependencies

3. Column-Level Transformations
● Split column by delimiter/position
● Merge columns
● Change data types
● Rename columns
● Add column from examples

4. Row-Level Transformations
● Filter rows based on conditions
● Remove or keep rows
● Sorting data
● Grouping data with aggregations

5. Data Cleaning & Shaping
● Handling missing values: Replace, Fill up/down
● Remove duplicates
● Pivot and Unpivot operations
● Creating conditional columns

6. Advanced Power Query Techniques
● Creating custom columns
● Using Parameters and Parameter tables
● Creating custom functions
● Merging and appending queries
● Reference vs Duplicate queries

Module 3: Data Modeling in Power BI
1. Introduction to Data Modeling
● Purpose of data modeling in BI
● Star schema vs Snowflake schema

2. Relationships in Power BI
● Creating and managing relationships
● Active vs Inactive relationships
● Cardinality (One-to-One, One-to-Many, Many-to-Many)
● Cross filter direction

Module 4: Introduction to DAX (Data Analysis Expressions)
1. DAX Basics
● What is DAX? Why DAX is powerful
● Calculated columns vs Measures
● Syntax rules and naming conventions
● Operators and precedence
● Data types supported in DAX

2. Commonly Used DAX Functions
Aggregation Functions:
● SUM, AVERAGE, MIN, MAX, COUNT,DISTINCTCOUNT
Logical Functions:
● IF, SWITCH, AND, OR, NOT
Text Functions:
● CONCATENATE, LEFT, RIGHT, SEARCH, FORMAT
Date/Time Functions:
● TODAY, NOW, YEAR, MONTH, WEEKNUM, DATEDIFF, DATEADD
Filter Functions:
● CALCULATE, FILTER, ALL, VALUES, REMOVEFILTERS
Time Intelligence Functions:
● TOTALYTD, SAMEPERIODLASTYEAR, PREVIOUSMONTH, DATESYTD

3. Advanced DAX Concepts
● Understanding Row Context vs Filter Context
● Context Transition with CALCULATE
● Iterator Functions: SUMX, AVERAGEX, MAXX, RANKX
● Optimization and performance tips for complex models

Module 5: Visualizations in Power BI
1. Core Visual Elements
● Bar/Column charts, Line charts, Pie/Donut charts
● Matrix and Table visuals
● Cards and Multi-row cards
● Maps: Shape map, Filled map

2. Slicers and Filters
● Basic Slicers
● Date and Range slicers
● Sync Slicers across pages
● Drill-down and Drill-through

3. Formatting and Interactions
● Title, label, legend customization
● Tooltips, data labels, axis formatting
● Visual interaction controls
● Custom themes and color palettes

4. Advanced Visualization
● Bookmarks and Selections Pane
● Button navigation
● Custom visuals from marketplace
● Using Python/R for visuals

Module 6: Dashboard and Report
Development
1. Report Creation
● Designing professional dashboards
● Layouts: pages, grids, sections

2. Navigation and UX
● Page navigation buttons
● Tabs, bookmarks, and interactivity

3. KPI and Gauge Visuals
● Setting up KPIs using measures
● Gauge chart design for targets
4. Filters in Depth
● Report level vs Page level vs Visual level
● Using Filter Pane and slicers

5. Performance Optimization
● Reducing visuals
● Optimizing queries and model size
● Best practices for report speed

Module 7: Power BI Service (Cloud)
1. Power BI Service Overview
● Navigating the Power BI workspace
● Publishing from Desktop to Service

2. Datasets, Reports, and Dashboards
● Difference between reports and dashboards
● Creating live dashboards in the Service

3. Collaboration & Sharing
● Sharing dashboards with users
● Workspace roles and permissions
● Power BI apps for distribution

4. Data Refresh & Gateway
● Scheduled and manual refresh
● Installing and configuring Gateway
● On-premises data connectivity

5. Row-Level Security (RLS)
● Creating roles and rules
● Testing roles in Power BI Service

Module 6: Generative AI

1.Foundations of Artificial Intelligence

Explore the evolution of Artificial Intelligence (AI) from the 1950s to today, covering key milestones like the Turing Test and Deep Blue.
Understand core AI concepts: Machine Learning (ML), Deep Learning (DL), Neural Networks, Perceptrons, and Transformers (e.g., BERT, GPT).
Learn about AI types: Narrow, General, and Superintelligent.
Discover real-world AI applications across industries like customer service, marketing, and finance.

2. Introduction to Generative AI

What is Generative AI
Evolution from Traditional AI → Gen AI
Overview of Generative AI models Large Language Models (LLMs)
GPT, Gemini, Claude (comparison & use cases)

3. Prompt Engineering & Task Automation

What is Prompt Engineering & why it matters
Prompt structure: Context → Task → Output
Prompting Techniques
Zero-shot prompting
Few-shot prompting
Chain-of-Thought prompting
ReAct prompting (Reason + Act) Role-based prompting
Common prompt mistakes & how to fix them
Reusable prompt templates
Get hands-on experience using ChatGPT and Claude for task automation

Module 7: Project Work and Case Studies

Module Domain: Exploratory Data Analysis
● Case study: Admission Prediction of Graduate Admissions from an Indian

Perspective
Module Domain: Univariate and Multivariate
● Data Analysis: Case Study: Melbourne Housing, house price prediction data

set
Module Domain: Bivariate Analysis and Pandas Profiling
● Case Study: Suicide rates overview 1985 to 2016
Module Domain: Data Preprocessing: Dealing with missing values and outliers
● Case Study: Data set which deals about some cities and states. Observe the

data and see if you can recognize missing values or garbage values in the

data set and handling them. Also treating the outliers in the data set.
Module Domain: Descriptive Statistics
● Case study: Cardio Good Fitness
Module Domain: Applied Statistics
● Case Study: Leveraging customer information for making business decisions.
● Case Study: Understanding factors for Churn in a Telecom Company
Module Domain: Visualization tools
● Case Study: Sales forecast analysis
Marketing Campaign Case Study
● Airline Fare case analysis

Project Work and Case Studies Power BI
❖ Project: Retail Sales Dashboard
● Sales vs Target KPIs
● Product category and region-wise breakdown
❖ Project: HR Analytics Dashboard
● Attrition rate, hiring trends
● Department-level analysis
❖ Project: Financial Performance Report
● P & L view, trend analysis, YoY comparison
❖ Project: Supply Chain and Inventory Dashboard
● Stock availability
● Supplier performance tracking

Course Highlights

Live sessions across 6 months

Industry Projects and Case Studies

24*7 Support

Who can apply for the course?

Aspiring Data Scientists who are interested in switching careers.
Graduate/post-graduate students wishing to pursue their careers in Data Analytics/Data Science.
Professionals who work with big data.
Professionals from non-IT bkg, and want to establish in IT.
Candidate who would like to restart their career after a gap.
Machine learning is a topic of interest to professionals.
Business analysts and those who work with data

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Data Analytics Training in Raipur Testimonials

What our students talks about us. If you were student of 3RI and wants to share your thought about us, kindly mail or call us.

I recently completed the Data Analyst course at 3RI Technologies, and I'm incredibly impressed. The instructors were knowledgeable, the curriculum was comprehensive, and the hands-on experience was invaluable. Highly recommend for aspiring data professionals.

I recently finished the Data Analyst course at 3RI Technologies and was thoroughly impressed. The instructors were knowledgeable, the curriculum was comprehensive, and the hands-on experience was invaluable, leaving me feeling well-prepared for a career in Data Analytics.

Enrolling in 3RI Technologies' Data Analytics training program to advance my skills was a great decision. The well-structured course material and exceptional instructor support exceeded my expectations. I'm confident these skills will unlock new opportunities in Data Analytics for me.

Frequently Asked Questions

1.Does the course offer any certification upon completion, and is it recognized in the industry?

Yes, After completion, the course provides a certification that is widely recognized in the industry. This certification boosts your credibility and enhances your employability in the field of Data Analytics.

2. How can I get more information or clarify any doubts about the Data Analytics course before enrolling?

You can contact 3RI Technologies directly through Our website or by phone to get more information or clarify any doubts about the course before enrolling.

3. Are there any opportunities for hands-on projects or real-world applications during the Data Analytics classes?

Yes, the Data Analytics classes at 3RI Technologies include opportunities for hands-on projects and real-world applications. These practical exercises enrich your learning experience and reinforce key concepts.

4. How does this Data analytics course ensure that I remain updated with current industry trends and advancements in data analytics?

This course incorporates the latest trends and advancements in the field of Data Analytics. Through updated curriculum and access to resources, you’ll stay current with emerging technologies and techniques, ensuring you’re well-equipped to adapt to the evolving landscape of Data Analytics.

5. Does the Data Analytics course cover both foundational and advanced concepts in data Analysis?

Yes, The Data Analytics course covers both foundational concepts, such as data cleaning and basic statistical analysis, and advanced concepts, such as machine learning algorithms and data visualization techniques.

6. Will I have access to any additional resources or support during the Data Analytic classes?

Yes, you will have access to additional resources and support during the classes, such as online materials, discussion forums, and instructor assistance, to enhance your learning experience and understanding of the subject.

7. Can I access course materials and lectures after completing the Data Analytics course for future reference?

Yes, after completing the course, you usually have continued access to course materials and lectures for future reference. This allows you to revisit concepts, review content, and stay updated with the course material, enhancing your understanding and application of Data Analytics principles.

8. How will my progress be assessed throughout the course?

The course will assess your progress through a blend of assignments, quizzes, exams, and hands-on projects. These assessments are intended to evaluate how well you understand and apply the course material.