Learn AI in Data Analytics Online: Free Course with AI Tutor & Certificate
This free AI in Data Analytics course offers an optional paid certificate upon completion. Across 7 modules and 69 video lessons taking about 1 hour, you'll learn to automate data cleaning, use Python for statistics, and build AI-powered interactive dashboards for better decision making.
What you'll learn in this AI in Data Analytics course
Five concrete outcomes you'll walk away with, each mapped to modules in the curriculum below.
Understand and apply AI techniques in data analytics to solve real-world problems.
Perform data preprocessing, cleaning, and feature engineering to prepare datasets for analysis.
Conduct exploratory data analysis and visualize data using advanced tools like Matplotlib, Seaborn, and Power BI.
Utilize statistical methods and Python for comprehensive data analysis and hypothesis testing.
Integrate AI with big data technologies and cloud platforms to build scalable analytics solutions.
AI in Data Analytics course syllabus
01 Introduction to AI Data Analytics
- What is AI Data Analytics?
- AI vs Traditional Data Analytics
- Key Components of AI Data Analytics Pipeline
- Real-World Applications of AI in Analytics
- Trends and Future of AI in Data Analytics
- Data Types in AI Analytics
- Data Sources in AI Analytics
- Data Collection and Storage Fundamentals
02 Data Preprocessing and Cleaning
- Understanding Data Quality and Integrity
- Handling Missing and Duplicate Data
- Dealing with Outliers
- Data Transformation and Scaling
- Encoding Categorical Variables
- Data Normalization and Standardization
- Feature Engineering Basics
- Automating Data Cleaning with Python
03 Exploratory Data Analysis (EDA)
- Introduction to EDA
- Univariate and Bivariate Analysis
- Correlation and Covariance Analysis
- Using Pandas Profiling
- Using Sweetviz
- Visualizing Data with Matplotlib
- Data Visualization Using Seaborn
- Detecting Patterns and Trends
- Identifying Data Anomalies
- Storytelling through Data Visualization
04 Statistics for AI Analytics
- Descriptive and Inferential Statistics
- Probability Distributions
- Sampling Distributions
- Hypothesis Testing Concepts
- ANOVA
- Chi-Square Tests
- Correlation and Regression Analysis
- Bayesian Thinking in Data Analytics
- Confidence Intervals
- P-values
- Using Python for Statistical Analysis Part 1
- Using Python for Statistical Analysis Part 2
05 Big Data and AI Integration
- Understanding Big Data Ecosystem
- Using Hadoop
- Using Spark Part 1
- Using Spark Part 2
- Big Data Analytics Using Spark With Python
- Integrating AI with Cloud Platforms
- Data Streaming and Real-Time Analytics
- AI-Powered Data Lakehouse
- AI-Ready Data Warehouse Part 1
- AI-Ready Data Warehouse Part 2
- Build Scalable Workflows with GenAI
06 Predictive and Prescriptive Analytics
- Predictive Modeling Concepts
- Time Series Forecasting with AI
- ARIMA Models
- LSTM Models
- Scenario Analysis using AI
- What-If Analysis
- Prescriptive Analytics
- Decision Trees for Prediction
- Random Forest Algorithm
- Deploy AI Models
- AI in Decision-Making
- AI in Business Applications
07 AI-Powered Visualization and Dashboards
- Importance of Data Visualization in AI Analytics
- Using Power BI with AI Features Part 1
- Using Power BI with AI Features Part 2
- Tableau for Predictive Analytics
- Creating Interactive Dashboards with Plotly and Dash
- AI-Driven Insights in Visualization Tools
- Power BI Python Integration
- Design Principles for AI Dashboards
Real-world projects you'll work on
Practice the exact kind of work AI in Data Analytics professionals do on the job.
Leveraging AI for Real-Time Customer Sentiment Analysis at Amazon
Automating Data Cleaning and Feature Engineering for Netflix's Recommendation System
Predictive Analytics for Supply Chain Optimization at Tesla Using AI
Developing AI-Powered Interactive Dashboards for Financial Insights at Goldman Sachs
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this AI in Data Analytics course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Aspiring data analysts in India looking to add artificial intelligence skills to their resumes.
- Working professionals who want to automate data cleaning and visualization tasks.
- Career switchers seeking a practical AI data analyst course to transition into tech.
- Business and finance students who need to build interactive dashboards for presentations.
Prerequisites
- No prior artificial intelligence experience is strictly required to begin this course.
- Basic familiarity with data concepts and Python programming is helpful.
- A computer with an internet connection to access the AI tutor and video lessons.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete AI in Data Analytics course: free, structured and job-focused
This free data analytics with AI course lets you learn at no cost, with an optional paid certificate available to highlight your new skills. You'll start with the basics in the first lesson, What is AI Data Analytics?, before moving through 7 modules. The curriculum covers everything from Data Preprocessing and Cleaning to Exploratory Data Analysis (EDA) and Statistics for AI Analytics. You'll also study Big Data and AI Integration, Predictive and Prescriptive Analytics, and AI-Powered Visualization and Dashboards.
Learning on LearnTube is built to be highly interactive. The platform pairs curated YouTube video lessons with an AI tutor that tests your knowledge. You take a quick quiz after every single lesson to make sure you actually understand the material. It's a smart way to study because the AI tutor keeps you engaged and helps fix any gaps in your learning immediately.
Throughout the 69 video lessons, you'll apply these concepts to four practical, hands-on projects. You'll practice applying AI for real-time customer sentiment analysis at Amazon and automating data cleaning for Netflix's recommendation system. Later, you'll run predictive analytics for supply chain optimization at Tesla using AI and develop AI-powered interactive dashboards for financial insights at Goldman Sachs. By the end of this 1-hour program, you'll know how to visualize data using tools like Matplotlib, Seaborn, and Power BI while solving real-world problems.
Jobs you can target after learning AI in Data Analytics
AI in Data Analytics is a gateway skill for some of the fastest-growing roles in tech.
Analyzes complex datasets using artificial intelligence tools to find business trends.
Builds interactive dashboards and visual reports for stakeholders.
Uses predictive analytics and statistics to guide company strategy and operations.
Typical entry-level salary ranges in India as of October 2026. Actual compensation varies by city, company and experience.
Earn a AI in Data Analytics certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this AI in Data Analytics course.
How long does this AI data analyst course take?
The course takes about 1 hour to complete. It includes 7 modules and 69 bite-sized video lessons, making it easy to fit into a busy schedule while learning the core concepts of AI data analysis.
What will I be able to build after this course?
You'll be able to build interactive dashboards and automate data cleaning pipelines. The hands-on projects teach you to handle sentiment analysis and run predictive analytics for real-world scenarios like supply chain optimization.
Is learning AI for data analysis still worth it?
Yes. Companies constantly look for professionals who can process large datasets faster. Adding artificial intelligence to your analytical toolkit helps you automate repetitive tasks, making you highly valuable to employers across multiple industries.
Are there any fees for this AI in data analytics course?
No, the learning content is entirely free. You can watch all 69 video lessons and use the AI tutor at no cost. You only pay if you choose to upgrade for the optional official certificate.
Do I need advanced coding skills to start?
No advanced coding is necessary. While basic familiarity with Python is helpful for the statistics and visualization modules, the lessons start from the fundamentals and guide you through the AI integration step by step.
Is this subject taught through self-paced learning?
Yes, the entire curriculum is self-paced. You can access the videos and AI-tutor quizzes whenever you want, allowing you to study data preprocessing and predictive analytics completely on your own schedule.
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