6 Month AI Data Analytics Course

Learn AI-powered data analytics, SQL, Python, dashboards, and automation systems for working professionals and beginners with no coding background.

Jobs
2000+
Learners
CTC
4.8/5
Average Rating
Learners working across 1700+ companies
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Accelerator Student
IBM
Happy Students
Live ClassesLive Classes
Mentor ConnectMentor Connect
Career SupportCareer Support
SOCIAL PROOF

Our Alumni Are Working Across 1700+ Top MNCs

Our learners are building AI-powered dashboards, automated systems, and data-driven decision models across top companies in India.

Microsoft
Deloitte
Paisabazaar
Bajaj Finserv
Indian Government
Razorpay
Microsoft
Deloitte
Paisabazaar
Bajaj Finserv
Indian Government
Razorpay
Microsoft
Deloitte
Paisabazaar
Bajaj Finserv
Indian Government
Razorpay
Microsoft
Deloitte
Paisabazaar
Bajaj Finserv
Indian Government
Razorpay
PROGRAMS ROADMAP

AI Data Analytics Roadmap for Working Professionals & Freshers

2,000+ learners across India are transitioning into AI-driven data analytics roles by building real projects and applying AI in their work.

Transition into AI Data Analytics Roles

CAREER SWITCHERS PATH
Leverage Your Existing Skills

Leverage Your Existing Skills

Learn how to apply AI in data analytics, dashboards, and reporting systems

Learn Data + AI Tools for Real Work

Learn Data + AI Tools for Real Work

Master Excel, SQL, Python, Power BI, and AI tools used by MNCs

Build AI-Powered Dashboards & Systems

Build AI-Powered Dashboards & Systems

Dashboards that generate automated insights and decision support with AI.

Work on Real Business Data Projects

Work on Real Business Data Projects

Solve real-world problems using datasets, automation, and analytics.

Transition into Data Analytics Roles

Transition into Data Analytics Roles

Use your portfolio, and projects to move into AI-driven analytics roles.

PROGRAM BENEFITS

Designed for Real-World Data Analytics Execution

You learn by building AI-powered dashboards, analytics systems, and real business reports.

Live Class
Program Benefits

Mentored by
Top 1% Industry Experts

1:1 Mentorship

1:1 Mentorship from Data Experts

Learn from professionals working in data analytics, BI, and AI-driven roles.

Live Project-Based Learning

Live Project-Based Learning

Build dashboards, SQL queries, and AI-powered analytics systems in real-time.

Industry-Relevant Curriculum

Industry-Relevant Curriculum

Stay updated with the latest Data Science tools, automation trends, and real-world use cases.

Career-Focused Learning

Career-Focused Learning Path

Move from learning to earning with job-ready data skills and project portfolios.

PROGRAM CURRICULUM

What You Will Learn In This AI Data Analytics Course

This program covers everything from fundamentals to advanced AI analytics, dashboards, and automation systems.

01

Module 1: Foundations of Data Analysis

Learning Goal

Build essential data skills in Excel and introductory BI tools to ensure a solid base in data manipulation and visualization.

Core Data Skills

  • Data cleaning & preparation
  • Aggregations & Pivot Tables
  • Introductory dashboards
  • Data manipulation best practices
Project: Create an interactive dashboard summarizing a sample dataset
Skills: Data cleaning, aggregation, pivot tables, introductory dashboards
Tools: Excel, Tableau, Power BI
02

Module 2: SQL for Data Analysis

Learning Goal

Learn SQL to query and manipulate relational databases, a critical skill for AI data stored in structured databases.

Relational Databases & SQL

  • Conditional filtering & sorting
  • Table joins (Inner, Left, Right, Full)
  • Data aggregation using GROUP BY
  • Subqueries & CTEs basics
Project: SQL-based analysis of sales or customer data, uncovering key patterns
Skills: Relational databases, conditional filtering, table joins, data aggregation
Tools: MySQL or Google BigQuery
03

Module 3: Statistics and Probability for Data Analysis

Learning Goal

Develop essential statistical skills, supporting hypothesis testing and decision-making, vital for understanding user behavior.

Statistical Foundations

  • Descriptive statistics (Mean, Median, Mode, Variance)
  • Probability distributions
  • Hypothesis testing & P-values
  • Correlation vs Causation
Project: Statistical analysis of user behavior data to validate business hypotheses
Skills: Hypothesis testing, statistical significance, probability modeling
Tools: Excel, Python Stats
04

Module 4: Python for Data Analysis

Learning Goal

Master Python for data manipulation, EDA, and visualization—an invaluable tool for AI analysts to gain deeper insights.

Python Data Science Stack

  • Pandas DataFrames & Series
  • Data cleaning & handling missing values
  • Exploratory Data Analysis (EDA)
  • Data visualization (Matplotlib, Seaborn)
Project: Exploratory Data Analysis (EDA) of user trends in an AI dataset
Skills: DataFrames, data cleaning, advanced visualization
Tools: Jupyter Notebook, Pandas, Numpy
05

Module 5: Advanced Business Intelligence and Dashboarding

Learning Goal

Create interactive dashboards that go beyond static views, designed specifically for tracking AI metrics and user behavior.

Interactive BI Systems

  • Dynamic dashboard design
  • Tracking AI performance metrics
  • User behavior visualization
  • A/B test result monitoring
Project: Build a dashboard that captures user journeys, AI KPIs, and conversion funnels
Skills: Interactive dashboards, AI KPI tracking, A/B test visualization
Tools: Tableau, Power BI
06

Module 6: Product Analytics Specialization

Learning Goal

Develop specialized analytical skills for product data, enabling cohort analysis and churn prediction.

Product Metrics & Cohort Analysis

  • Mastering DAU, MAU, LTV, and retention
  • Retention curves & churn analysis
  • Cohort visualizations
Project: Conduct a cohort analysis to visualize retention curves over time

Funnel Analysis & Journey Mapping

  • Analyzing & optimizing user journeys
  • Funnel metrics & conversion bottlenecks
  • Drop-off point identification
Project: Perform a detailed funnel analysis to pinpoint conversion bottlenecks

Predictive Analytics & Churn Prediction

  • Building churn prediction models in Python
  • Identifying at-risk user behaviors
  • Retention strategy design
Project: Develop a churn prediction model to identify at-risk users

Customer Segmentation

  • RFM analysis techniques
  • Customer clustering for personalization
  • Tailoring product offerings
Project: Use segmentation to tailor experiences and boost engagement
07

Module 7: Modern Data Stack for Analysts

Learning Goal

Learn modern data infrastructure, pipelines, and tools used in data-driven organizations.

Modern Data Stack Foundations

  • Data warehousing (BigQuery, Snowflake)
  • ETL/ELT vs. traditional ETL
  • dbt workflows & data modeling
  • Analytics platforms (Metabase, Looker)
Project: Design an event-tracking pipeline and build a dbt model

Data Pipelines & BI Integration

  • End-to-end data pipeline design
  • Connecting dbt to BI tools
  • Automating metric reporting
  • Troubleshooting pipeline challenges
Project: Deploy a pipeline using BigQuery + dbt + Tableau/Power BI
08

Module 8: AI Tools and Automation for Data Analysts

Learning Goal

Develop skills to enhance data workflows using AI-powered tools, improving speed and scalability.

AI in Data Analytics Workflows

  • Generative AI (ChatGPT, Copilot) for SQL
  • AI-assisted Python scripting
  • Automated data quality checks
  • Report summarization using LLMs
Project: Automate data analysis workflows using AI tools

AI-Enabled Predictive Analytics

  • Automating SQL/Python generation
  • AutoML with BigQuery ML
  • AI-driven reports & dashboards
  • Validation of AI outputs
Project: Build predictive models using AutoML and generate AI-driven insights
MENTORS

Learn from Industry Data Experts

Get mentored by professionals with 10+ years of experience in data analytics, business intelligence, and AI-driven roles.

Akash Maurya
Akash Maurya
Data scientist @Koantek - Koantek
Ravi Ahlawat
Ravi Ahlawat
Sr. Product Manager - PayU - PayU
Subhasis Chandra
Subhasis Chandra
Sr. Product Manager - Publicis Sapient - Publicis Sapient
Nitish Setty
Nitish Setty
Managing director at GrowSharp - GrowSharp
Shubham Swaraj
Shubham Swaraj
Founder @BIP Consultant - BIP Consultant
Akash Maurya
Akash Maurya
Data scientist @Koantek - Koantek
Ravi Ahlawat
Ravi Ahlawat
Sr. Product Manager - PayU - PayU
Subhasis Chandra
Subhasis Chandra
Sr. Product Manager - Publicis Sapient - Publicis Sapient
Nitish Setty
Nitish Setty
Managing director at GrowSharp - GrowSharp
Shubham Swaraj
Shubham Swaraj
Founder @BIP Consultant - BIP Consultant
Akash Maurya
Akash Maurya
Data scientist @Koantek - Koantek
Ravi Ahlawat
Ravi Ahlawat
Sr. Product Manager - PayU - PayU
Subhasis Chandra
Subhasis Chandra
Sr. Product Manager - Publicis Sapient - Publicis Sapient
Nitish Setty
Nitish Setty
Managing director at GrowSharp - GrowSharp
Shubham Swaraj
Shubham Swaraj
Founder @BIP Consultant - BIP Consultant
Akash Maurya
Akash Maurya
Data scientist @Koantek - Koantek
Ravi Ahlawat
Ravi Ahlawat
Sr. Product Manager - PayU - PayU
Subhasis Chandra
Subhasis Chandra
Sr. Product Manager - Publicis Sapient - Publicis Sapient
Nitish Setty
Nitish Setty
Managing director at GrowSharp - GrowSharp
Shubham Swaraj
Shubham Swaraj
Founder @BIP Consultant - BIP Consultant
TOOLS

Tools You Will Work With

Power BI
Power BI
Google Analytics
Google Analytics
Excel
Excel
SQL
SQL
Python
Python
Power BI
Power BI
Google Analytics
Google Analytics
Excel
Excel
SQL
SQL
Python
Python
Power BI
Power BI
Google Analytics
Google Analytics
Excel
Excel
SQL
SQL
Python
Python
Power BI
Power BI
Google Analytics
Google Analytics
Excel
Excel
SQL
SQL
Python
Python
SKILLSET

AI Data Analytics Skill Checklist

Discovery

Understand data basics and how AI enhances analytics.

PHASE 01

Strategy

Design analytics approaches and data-driven strategies.

PHASE 02

Design

Structure dashboards and reports.

PHASE 03

Build

Create dashboards, SQL queries, and AI systems.

PHASE 04

Analyze

Interpret data and generate insights.

PHASE 05

Grow

Scale analytics systems and decision frameworks.

PHASE 06
CERTIFICATION

The Certificate Recognized By The Industry

AI Data Analytics Certificate

Get Your Nano-Degree in AI Data Analytics

Show the world your expertise in AI Data Analytics, stand out in a competitive Ai job market and get hired easily.

  • Industry-recognized Nano Degree in AI Data Analytics.
  • Verified badge + unique verification ID
  • Trusted by 2500+ companies and agencies
  • AI Data Analytics Projects portfolio
  • Lifetime exclusive alumni community access
CAREER

Career Opportunities After This Data Analytics Course

Data Analyst

₹6L – ₹15L

Drive business decisions using data + insights

Business Analyst

₹8L – ₹20L

Build data pipelines & transformation systems

AI Data Analyst

₹10L – ₹25L

Create dashboards that drive strategy

Analytics and BI Specialist

₹12L – ₹28L

Help companies become data-driven

Career Network Illustration
AVERAGE ANALYTICS
PERFORMANCE ANALYTICS
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PROJECTS

Build Real Data Projects That Get You Hired

Instead of just completing assignments, you build:

Dashboards
SQL Projects
AI-powered analytics
Business reports

This becomes your proof of work. What recruiters actually care about.

PRICING

Choose Your AI Data Analytics Learning Path

Flexible pricing options designed for professionals who want to build AI-powered data solutions and real-world applications.

MOST POPULAR

AcceleratorX + IBM

An advanced AI Data Analytics program in India designed for learners seeking deeper expertise in analytics, dashboards, automation, and AI-driven decision-making.

₹ 42,999 + GST
ADVANCED DATA ANALYTICS TRACK
  • Everything included in the Regular Program
  • IBM Industry Certification
  • Advanced Analytics & Automation Track
  • Dashboard & BI Workshops
  • Real-world case simulations
  • Career Support

Regular Program

A complete data analytics course for beginners and working professionals.

₹ 29,999 + GST
FULL PROGRAM ACCESS
  • Complete Curriculum
  • Hands-on Projects
  • Dashboard & SQL Practice
  • Tools Access
  • Mentorship

FAQs

An AI Data Analytics course combines traditional data analytics skills with AI tools, automation, and intelligent data processing. Unlike regular courses, it teaches you how to analyze data, generate insights automatically, and build AI-powered dashboards used in modern companies.

The best AI Data Analytics course focuses on practical skills, real datasets, and business use cases. Programs like AcceleratorX are designed for working professionals who want to transition into data analyst, business analyst, or AI-driven analytics roles without relying on outdated theory.

Yes, you can start learning data analytics without coding. This course begins with Excel, BI tools, and AI-powered analytics platforms, and gradually introduces SQL and Python in a beginner-friendly way.

After completing an AI Data Analytics course, you can apply for roles such as: Data Analyst, Business Analyst, AI Data Analyst, BI Analyst, Analytics Specialist. These roles are in high demand across companies using data-driven decision-making and AI tools.

To switch into data analytics, you need hands-on project experience, real datasets, and a strong portfolio. Learning AI tools alongside analytics helps you stand out by showing your ability to automate insights and improve business decisions.

Start Your Data Career Before You’re Left Behind

Join professionals building careers using AI-powered data analytics and real-world projects.