AI-Powered Data Analytics Online Course

Rated 5 out of 5

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25 hrs of E-Learning Videos
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Overview of AI-Powered Data Analytics Course

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Upcoming AI-Powered Data Analytics Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
18-09-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

AI-Powered Data Analytics Course Syllabus

Join our Best AI-Powered Data Analytics Course! Learn how to transform raw data into meaningful business insights using advanced data analytics techniques, Artificial Intelligence, and Generative AI tools. Master essential skills in Excel, SQL, Python, Power BI, data visualization, statistical analysis, and predictive analytics through a practical, industry-focused curriculum.

  • What is Data Analytics?
  • Types of Data Analytics
    • Descriptive
    • Diagnostic
    • Predictive
    • Prescriptive
  • Data Analytics vs Data Science vs Business Intelligence
  • Introduction to Artificial Intelligence and Generative AI
  • Role of AI in modern data analytics
  • Data analytics lifecycle
  • Real-world applications and industry use cases
  • Understanding structured and unstructured data
  • Data sources and data formats
  • CSV, Excel, JSON and database data
  • Data quality and data validation
  • Handling missing values
  • Removing duplicates
  • Identifying outliers
  • Data transformation
  • Data standardization and normalization
  • Introduction to ETL/ELT
  • AI-assisted data preparation
  • Excel fundamentals for analytics
  • Data cleaning and formatting
  • Formulas and functions
  • IF, SUMIFS, COUNTIFS, XLOOKUP and related functions
  • Sorting and filtering
  • Conditional formatting
  • Pivot Tables and Pivot Charts
  • Data validation
  • Advanced Excel analytics
  • Introduction to AI-assisted Excel analysis
  • Building an analytical report in Excel
  • Introduction to relational databases
  • Tables, rows, columns and relationships
  • SELECT statements
  • Filtering and sorting data
  • Aggregate functions
  • GROUP BY and HAVING
  • JOIN operations
  • Subqueries
  • CASE statements
  • Common Table Expressions (CTEs)
  • Window functions
  • Writing analytical SQL queries
  • Using AI to generate and optimize SQL queries
  • Introduction to Python for analytics
  • Python environment and notebooks
  • Variables, data types and basic programming
  • Lists, dictionaries and functions
  • Introduction to NumPy
  • Introduction to Pandas
  • Reading and writing datasets
  • Data cleaning with Pandas
  • Data transformation and aggregation
  • Handling missing data
  • Working with dates and text data
  • AI-assisted Python coding and debugging
  • Understanding datasets
  • Descriptive statistics
  • Mean, median, mode
  • Variance and standard deviation
  • Percentiles and distributions
  • Correlation and covariance
  • Exploratory Data Analysis (EDA)
  • Identifying trends and patterns
  • Detecting anomalies and outliers
  • Basic hypothesis testing
  • Interpreting statistical results
  • Using AI to generate analytical hypotheses and insights
  • Principles of effective data visualization
  • Choosing the right chart
  • Bar, line, pie, scatter and histogram charts
  • Advanced visualizations
  • Avoiding misleading visualizations
  • Data storytelling principles
  • Building executive-level reports
  • Communicating insights to non-technical audiences
  • AI-assisted insight generation and narrative creation
  • Introduction to Power BI
  • Connecting to different data sources
  • Power Query
  • Data cleaning and transformation
  • Data modeling
  • Relationships
  • Calculated columns and measures
  • Introduction to DAX
  • Creating interactive dashboards
  • Filters, slicers and drill-downs
  • KPI cards
  • Dashboard design principles
  • AI-powered features in Power BI
  • Publishing and sharing reports
  • Introduction to Generative AI
  • AI tools for data analysts
  • Prompt engineering fundamentals
  • Writing effective analytical prompts
  • AI-assisted data cleaning
  • AI-assisted SQL query generation
  • AI-assisted Python programming
  • Generating formulas and calculations
  • Automated data summaries
  • Finding trends and anomalies using AI
  • Generating business insights
  • AI-assisted dashboard analysis
  • Creating management reports with AI
  • Limitations, hallucinations and validation of AI-generated results
  • Introduction to predictive analytics
  • Machine learning concepts
  • Supervised vs unsupervised learning
  • Regression
  • Classification
  • Clustering
  • Feature selection
  • Training and testing datasets
  • Model evaluation
  • Forecasting fundamentals
  • Business applications of predictive analytics
  • Using AI tools to support predictive analysis
  • Translating business questions into analytical problems
  • KPI identification
  • Sales and marketing analytics
  • Customer analytics
  • Financial analytics
  • HR analytics
  • Operations and supply-chain analytics
  • Customer segmentation
  • Churn analysis
  • Performance analysis
  • What-if analysis
  • Turning insights into business recommendations
  • Automating repetitive analytics tasks
  • AI-assisted report generation
  • Automated data summaries
  • Workflow automation concepts
  • Generating recurring business reports
  • AI-assisted dashboard documentation
  • Automating data analysis with Python
  • Building reusable analytics workflows
  • Introduction to AI agents for analytics
  • Best practices for human validation and governance
  • Data privacy fundamentals
  • Data security
  • Ethical use of data
  • Bias in data and AI
  • Responsible AI
  • AI hallucinations and inaccurate outputs
  • Protecting confidential business information
  • Data governance
  • Human oversight in AI-powered analytics
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AI-Powered Data Analytics Projects

Gain practical experience through hands-on AI-Powered Data Analytics Course Projects designed to simulate real-world business scenarios. Analyze datasets, clean and transform data, create interactive dashboards, identify trends, and use AI tools to generate actionable insights. These projects help learners strengthen technical skills, problem-solving abilities, and confidence in applying data analytics to real business challenges.

Sales Performance & Forecasting Analytics

Analyze historical sales data to identify revenue trends, top-performing products, customer segments, and regional performance. Use Python, SQL, Power BI, and AI tools to clean data, build interactive dashboards, generate insights, and create basic sales forecasts to support better business planning.

Customer Churn & Segmentation Analysis

Analyze customer behavior and transaction data to identify customers at risk of leaving. Apply AI-assisted analytics and machine-learning techniques to segment customers, discover behavioral patterns, visualize churn trends, and provide actionable recommendations that can help businesses improve customer retention.

HR Employee Analytics Dashboard

Develop an AI-powered HR analytics solution using employee data to understand workforce trends, attendance, performance, attrition, and employee demographics. Create an interactive Power BI dashboard and use AI to identify key patterns and generate data-driven recommendations for improving employee engagement and retention.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mrs. Kavipriya
Experience
4+ Years
Specialized in
AI-Powered Data Analytics, Python, SQL, Excel, Power BI, Data Visualization, Machine Learning, Generative AI, Predictive Analytics & Business Intelligence.
More Details
Mrs. Kavipriya, with 4+ years of industry experience, specializes in AI-powered data analytics, Python, SQL, Excel, Power BI, machine learning, data visualization, and Generative AI technologies.

AI-Powered Data Analytics Course Objectives

The AI-Powered Data Analytics Course is designed to build practical expertise in analyzing, interpreting, and visualizing data using AI-driven tools and technologies. Learners will develop skills in Excel, SQL, Python, Power BI, Generative AI, and predictive analytics while solving real-world business problems and creating meaningful, data-driven insights.

The main objective is to help learners develop practical data analytics skills and use AI tools to analyze data, identify patterns, create dashboards, and support data-driven business decisions.

Yes. The course includes hands-on exercises, real-world datasets, and industry-relevant projects covering data cleaning, analysis, visualization, AI-assisted analytics, and dashboard development.

You will learn Excel, SQL, Python, Pandas, NumPy, Power BI, Generative AI, machine learning fundamentals, and data visualization techniques to perform modern AI-powered data analytics.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

AI-Powered Data Analytics Career Opportunity

Our institute provide learners with valuable opportunities to connect with leading companies and explore rewarding careers in AI-powered data analytics. Through industry connections, job opportunities, interview preparation, and career guidance, participants can showcase their skills and pursue roles such as Data Analyst, Business Analyst, BI Analyst, and AI-enabled Analytics Professional.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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Vaishnavi M
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I enrolled in the Workday HCM Payroll course at Infibee Technologies and I am fully satisfied with the training. The classes were easy to understand and the placement guidance together with mock interviews helped me build trust in my abilities. Job seekers should consider this program because it comes with high recommendations.
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Subhashiniwillams075
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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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Deva Dharshini
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I recently completed the SAP CO-PA course at Infibee Technologies and had a great experience. The training quality was excellent, and the trainers were friendly, knowledgeable, and very supportive. They also provided valuable help with interview preparation and resume building, which boosted my confidence. With affordable fees and strong support, I highly recommend this institute for SAP training.
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Arivu Vaisi
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The Oracle Flexcube course at Infibee Technologies provided me with practical knowledge through its educational sessions. The trainer explained all concepts clearly and the placement support was very helpful. The program provides excellent Oracle training according to my assessment.
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The SAP IBP Course training is excellent. Trainers are knowledgeable and guide students with real-time scenarios. Placement support and resume preparation are very good. Highly recommended!
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Harish
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I learned SAP FSCD Course at Infibee Technologies and it was very helpful. Trainers provide real-time examples and excellent placement support. Highly recommended institute!
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I completed the MS DYNAMICS 365 CRM course at Infibee Technologies and found the training to be very beneficial. The course was explained in an easy way and the placement guidance gave me more confidence. I highly recommend joining this program at the present time.
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Nandhini Akash
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I completed the Workday HR course at Infibee Technologies and the training was really helpful for my career growth. The trainers support students by providing simple explanations which include real-world examples of every topic. Highly recommended to join now.
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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
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I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
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AI-Powered Data Analytics Training FAQ's

Infibee AI-Powered Data Analytics Course offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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