AI Data Analytics Course in Pune: Turn Data Into Decisions | Technogeeks X AI
Don't just analyze data. Master AI for data analysis. Work with raw, messy spreadsheets and convert them into clear dashboards with useful predictions. Start learning Python, SQL, Power BI, Tableau, and Generative AI copilots through real-world client datasets hands-on capstone projects. Also get guidance from working industry mentors.
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Why Choose Technogeeks X AI for Data Analytics Training
This data analyst training mainly focuses on real career growth, not just attending classes.
Job-Focused AI & Data Analyst Course Syllabus
Every module has a real task that data analyst professionals do at work, all data analytics syllabus is updated.
Real Industry Projects & Case Studies
Work on data which is not cleaned, Real-world business data with missing values, duplicate data, and errors from e-commerce, banking, healthcare, and SaaS industries.
Working Data Professionals as Mentors
Learn directly from experienced Senior Data Analysts and BI Consultants currently working in leading tech companies and GCCs who have 16+ work experience.
Small, Interactive Batch Sizes
Every batch at Technogeeks X AI is small, each and every student gets personal attention, live coding help, and dedicated doubt-solving sessions and placement assistance.
Dedicated Placement & Career Support
We help for resume optimization and GitHub/LinkedIn portfolio reviews to 1:1 technical and HR mock interviews, we stay with you until you land your role in the data analytics field.
Proven Track Record: 20,000+ Learners
5000+ We have over 10 years of experience in tech training, helping lots of students get jobs in MNCs, product companies, and growing startups.
Real Skills, Not Just Certificates: What You Walk Into an Interview Demonstrating
By the end of the AI Data Analytics course in Pune, with confidence you can show hiring managers what you can do.
Analyze
Import messy, unformatted data from CSV files, APIs, and databases. Use Python, NumPy, and Pandas for cleaning the data and fix missing values, and prepare it for analysis.
Query
You will work with multiple tables in databases. With the help of SQL joins, subqueries, and other SQL functions find important information required for business.
Visualize
Create interactive reports in Power BI and Tableau tools. Build useful calculations, you can use DAX functions, and create simple KPI dashboards which help business leaders make decisions.
Explain
Connect data finding with business goals. Explain results in easy and simple words and give recommendations to increase revenue and improve business performance.
The Modern AI Data Analyst Stack: Everything You Need on the Job
You will learn all the tools together as one complete data analysis process.
ANALYST
- Core Programming and Data Analysis: You will learn - Python (Pandas, NumPy, Matplotlib, Seaborn)
- Data Storage & Extraction: SQL (MySQL, PostgreSQL, Window Functions, Query Optimization)
- Spreadsheet Foundations: Advanced Microsoft Excel (Pivot Tables, VLOOKUP, Nested Formulas)
- Business Intelligence and Dashboards Creation: Power BI (DAX, Data Modeling), Tableau Public/Desktop
- Statistical Modeling: Statistical modeling in which Descriptive Statistics, Inferential Testing, Hypothesis Validation
- Generative AI Copilots: ChatGPT, Google Gemini, GitHub Copilot, Microsoft Copilot these are tools for Analytics
From Raw Data to AI-Driven Insights: The 6-Step Workflow
Every practical exercise and capstone project in our data analytics program mirrors the exact pipeline used by professional analytics teams:
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01
Raw Data: Multi-Source Data Collection
You will get organised and raw data from databases, cloud storage, CRM files, and third-party APIs.
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02
Clean: Automated Data Cleaning & Wrangling
Clean missing data, remove data which is duplicate, organising data properly, and automate common data cleaning tasks with help of Pandas and AI tools.
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03
Analyze: Exploratory Data Analysis & Statistics
Create simple questions, check whether the results are meaningful, find relationships between data, discover hidden patterns.
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04
Visualize: Interactive BI Dashboard Design
Convert data tables into clear charts with the help of Power BI, Tableau, and Matplotlib to show how business is actually performing against its targets.Tableau, and Matplotlib to highlight performance against operational targets.
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05
Insight: AI-Powered Pattern Recognition
With the help of AI tools find unusual data, also understand why customers leave, and analyze large amounts of customer feedback.
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06
Decision: Prescriptive Business Recommendations
Creating clear, data based plans which senior managers can use and take action on an urgent basis.
Portfolio Capstone Projects: Case Studies You Will Actually Build
Not just basic practice exercises. You will work on real-world business problems, create complete projects , upload code created by you on GitHub, and build understandable dashboards that you can show in job interviews.
E-Commerce Sales Performance & Margin Analysis
The Business Problem —The company's sales are going down for some products and in some areas.
The Dataset —More than 500,000 orders from 2 years, which includes delivery costs, discounts, and product details.
Tools Used —Python, Pandas, SQL, Power BI.
The Outcome —Created an automated data pipelines and dashboards with the help of Power BI that found 3 loss-making delivery routes and weak discount plans, which helps for improving the operating profit margin by an estimated 14%.
Customer Churn Prediction & Retention Dashboard
The Business Problem—A subscription company had more customers leaving, but it could not know who might leave next.
The Dataset —User activity data, login frequency, support requests, and payment history.
Tools Used —Tools used such SQL, Excel, Statistics, Tableau, and Generative AI.
The Outcome —Created a simple score to find out customers who may be leaving and a tableau report to help the team focus on the customers who may leave soon.
HR Workforce Analytics & Attrition Drivers
The Business Problem —A technology company noticed that lots of engineers were leaving within their first 18 months.
The Dataset —HR data from the past few years, which includes employee salaries, performance, and time in the company.
Tools Used —Python, NumPy, Matplotlib, and Power BI.
The Outcome —Created a Power BI report to find out why employees were leaving and how their salary work time was related.
Comprehensive Six-Phase Curriculum: From Fundamentals to AI-Powered Analytics
This data analytics training is mainly for beginners and working professionals. Each and every step is simple and easy to learn.
You will learn python basics like syntax, data types, if-else, loops, lists, and functions. From the beginning, you use Python with real data.
Learn things like how databases are designed, use primary and foreign keys, Write simple and advanced SQL queries, join tables, use subqueries and CTEs. Also calculate data with functions, and use RANK, DENSE_RANK, LEAD, and LAG.
With the help of DataFrames learn how to work with data, find and fix missing data, sort data, combine tables, group data, create pivot tables, and work with combine tables, group data, create pivot tables.
Learn basic statistics like mean, median, variance, and standard deviation. Understand probability, test your data with the help of Z-test, T-test, and Chi-square, and using Matplotlib and Seaborn create charts.
Learn how data gets organised, create star schemas, use DAX formulas, build interactive dashboards, add drill-down options, and create clear and understandable reports for managers.
Start learning AI tools like ChatGPT, Gemini, and Copilot to write SQL queries, fix code . Explore data, and find useful insights from it. Finish with a complete project and present your work.
Earn a Verifiable, Industry-Recognized Certificate in AI Data Analytics
A certificate which showcases you have real practical skills, not just attended the course.
Hands-On Analytics Lab: Learn by Solving Real-World Business Problems
Learn concepts in theoretical and practical ways, practice it in our live analytics lab.
- Raw Business Data IngestionYou start with real-world data that has messy formats, missing data, and common problems.
- SQL Query WorkbenchWrite and improve SQL queries to get important data for business needs.
- Python Analytical NotebooksUse jupyter to explore data,check statistics, and clean data step by step.
- Executive Visualization StudioConnect clean data to Power BI and Tableau to create interactive dashboards which can answer business questions.
Don't Just Analyze Data. Learn to Analyze with AI.
Generative AI (Gen AI) is not just an extra webinar. It is included in every part of the Technogeeks X AI course Syllabus.
Where This Course Takes You: Your 5-Step Career Roadmap
Step by Step clear path which helps you go from learning to working as a data analyst.
Learn Core Tools & AI Workflows
Learn Python, SQL, Excel, statistics, Power BI, and Generative AI copilots and Build solid foundations skills.
Build Real-World Project Applications
Practice everything you learn using real business data from different industries.
Assemble an Employer-Ready Portfolio
Upload 2 to 4 complete projects to GitHub, Tableau Public, and LinkedIn with the problem, code details.
Master Technical & Scenario Mock Interviews
Take mock interviews with industry experts and practice on SQL questions, Python tests, and real business problems.
Apply with Dedicated Placement Support
Get job opportunities by Technogeeks X AI company network and apply with an ATS-friendly resume.
Career Support That Goes Beyond the Syllabus: The Career Launchpad
Our support does not end after editing the course. We help you get ready for a job and stand out to employers.
ATS-Optimized Resume & CV Building
Create a strong resume which can highlight your skills, tools, projects, and achievements. Make it ATS friendly to help your resume get noticed by employers.
Technical & Behavioral Mock Interviews
Practice with industry mentors who will take real interviews at IT and product companies. Get helpful feedback on your skills.
Real Interview Question Preparation
Get access to common technical interview questions, live SQL tests, and real business case studies.
1:1 Mentorship from Working Analysts
Connect with industry mentors for career guidance, resume feedback, and advice based on your skills and experience.
Dedicated Job Assistance & Referrals
Get job openings, company referrals, and placement opportunities through Technogeeks' hiring network.
LinkedIn & Portfolio Optimization
Make improvements in your LinkedIn profile, project repositories, and portfolio dashboards to help recruiters find you easily.
Alumni Working Across the Industry: Trusted by 20,000+ Learners
Join a network of working analysts and tech professionals who started their careers with us.
Our students work in top companies such as TCS, Infosys, Cognizant, Wipro, Capgemini, Accenture, Persistent Systems, and leading tech startups.
Course Snapshot: Program Details & Learning Modes
Enroll in the AI Data Analytics Program
Complete AI Data Analytics Professional Track
Tuition Fee: ₹35,000 (Full Program / All-Inclusive)
No-cost EMI options available
- + Live data analytics classes are taught by experienced data professionals.
- + 4 industry capstone projects with code review, AI Automation and portfolio support.
- + Dedicated access to cloud databases, datasets, and practice tools.
- + Comprehensive training across Python, SQL, Excel, Power BI, Tableau, and Generative AI.
- + Resume building sessions, technical mock interviews, and personalized career mentoring.
- + You will get Lifetime access to class videos, notes, and interview preparation and study materials.
- + Data Analyst Certificate of completion from Technogeeks X AI will help you to verify.
Frequently Asked Questions: AI Data Analytics Course
It is an intensive, job-oriented data analyst program designed to train beginners and professionals in modern data analytics. Where you will learn Python, SQL, Advanced Excel, Statistics, Power BI, Tableau, and Generative AI copilots (ChatGPT, Copilot, Gemini) through live, hands-on client-style projects.
Anyone with basic analytical curiosity about data analytics can join. The Technogeeks X AI data analytics course is built for college freshers (engineering, science, commerce, management), working professionals looking to transition from non-tech or QA roles, traditional MIS/Excel analysts, and managers. No prior programming background is required.
Not at all. Phase 01 begins with core Python syntax and programming logic from scratch, specifically tailored for data analysis. You will be guided step by step.
Generative AI (Gen AI) is embedded as a daily analytical tool. You will learn prompt engineering for SQL queries, with python automated data cleaning, automated exploratory data analysis (EDA), and natural-language executive report generation.
Both modes offer the exact same curriculum, live mentor interaction, assignments, Certifications and placement support. Classroom data analytics classes take place at our Technogeeks Pune training center. Online data analyst training is live, interactive virtual sessions with screen sharing and regular doubt sessions.
We provide complete end-to-end job assistance, which includes ATS resume building, LinkedIn optimization, mock technical and HR interviews, Internship opportunities, access to internal job openings, and direct company referrals.
Yes. You can register for an upcoming live data analytics demo session or speak with an academic counsellor to understand the data analyst syllabus and check whether the program matches your career goals.