Data Science & Data Analytics with Generative AI course in Solapur
What you will learn
Comprehensive Data Science and Data Analytics program with Generative AI covering Excel, SQL, Power BI, Tableau, Python, Machine Learning, Deep Learning, NLP, Prompt Engineering, AI tools, and real-world capstone projects.
- Duration
- 6 Months
- Modules
- 16
- Topics
- 214+
- Demos
- On request
Free demo, no fee to try
Free demo classes
Data Science & Data Analytics with Generative AI demo dates in Solapur
Sit in a real class at Dufferin Chowk or online, then decide.
The next Data Science & Data Analytics with Generative AI demo date is being finalised.
Share a number and the counsellor will fit you into the next demo at Dufferin Chowk or online, usually within the week.
Week by week
Your Data Science & Data Analytics with Generative AI plan, week by week
of about 26 weeks
Module 1 of 16, from about week 1
Excel for Data Analytics + AI
Excel Fundamentals
- Excel Interface
- Data Types
- Data Cleaning
- Sorting and Filtering
- Data Formatting
Core Functions
- IF Function
- SUMIFS
- COUNTIFS
- VLOOKUP
- XLOOKUP
- INDEX MATCH
- Text Functions
- Date Functions
Advanced Excel
- Pivot Tables
- Pivot Charts
- Conditional Formatting
- Data Validation
- Power Query Basics
- Excel Dashboards
AI Tools for Excel
- ChatGPT
- SheetGPT
- OpenAI API
- AI-Powered Analytics Summaries
Module 2 of 16, from about week 2
SQL for Data Analytics + AI
SQL Fundamentals
- Database Concepts
- SELECT Queries
- WHERE Clause
- ORDER BY
- LIMIT
Data Filtering
- AND / OR
- BETWEEN
- IN
- LIKE
Aggregation and Joins
- COUNT
- SUM
- AVG
- GROUP BY
- HAVING
- INNER JOIN
- LEFT JOIN
- RIGHT JOIN
- FULL JOIN
Advanced SQL
- Subqueries
- Window Functions
- CTE
- Ranking Functions
AI Tools for SQL
- SQLBuilder
- ChatGPT for SQL Debugging
- Auto Query Generation
- SQL Optimization
Module 3 of 16, from about week 4
Power BI
Power BI Fundamentals
- Power BI Interface
- Data Import
- Data Transformation
- Data Modeling
- Relationships
DAX
- CALCULATE
- FILTER
- SUMX
- Time Intelligence
Visualization
- KPI Dashboards
- Business Reports
- Interactive Charts
Module 4 of 16, from about week 5
Tableau
Tableau Fundamentals
- Tableau Interface
- Data Connections
- Calculated Fields
- Filters and Parameters
Visualizations
- Heat Maps
- Geo Maps
- Trend Charts
- Story Dashboards
Module 5 of 16, from about week 7
Python for Data Analytics + AI
Python Basics
- Variables
- Data Structures
- Loops
- Functions
- Conditional Statements
Python Libraries
- NumPy
- Pandas
- Matplotlib
- Seaborn
Data Processing
- Data Cleaning
- Missing Value Handling
- Data Transformation
Exploratory Data Analysis
- Distribution Analysis
- Correlation Analysis
- Trend Detection
AI-Driven Python Analytics
- AI-Assisted Code Generation
- Data Visualization Scripts
- Debugging with ChatGPT
Module 6 of 16, from about week 9
Statistics for Data Analytics
Descriptive Statistics
- Mean
- Median
- Mode
- Variance
- Standard Deviation
- Percentiles
Probability and Distributions
- Normal Distribution
- Binomial Distribution
- Poisson Distribution
Hypothesis Testing
- Z-Test
- T-Test
- Chi-Square Test
- ANOVA
Regression
- Correlation
- Linear Regression
AI-Assisted Statistical Analysis
- ChatGPT for Statistics
- PandasAI
- Regression Output Interpretation
- AI Generated Statistical Insights
Module 7 of 16, from about week 10
Generative AI for Data Analysts
Generative AI Foundations
- What is Generative AI
- Large Language Models
- Prompt Engineering
AI Tools
- ChatGPT
- OpenAI APIs
- SheetGPT
- PandasAI
- SQLBuilder
Applications
- AI-Assisted Coding
- AI Data Interpretation
- Automated Report Generation
- AI-Powered Analytics Workflows
Module 8 of 16, from about week 12
Machine Learning with Python
Machine Learning Introduction
- ML vs AI
- Supervised vs Unsupervised Learning
- Clustering
- Classification
- Regression
Regression Algorithms
- Linear Regression
- Logistic Regression
Classification and Clustering
- K Means Clustering
- Hierarchical Clustering
- KNN
- SVM
Advanced ML Algorithms
- Decision Tree
- Random Forest
- Naive Bayes
- Gradient Boosting
- XGBoost
- PCA
Module 9 of 16, from about week 14
Advanced Data Science
Time Series Forecasting
- Time Series Basics
- Trend and Seasonality
- Stationarity
- Autoregressive Model
- Moving Average Model
- ARIMA
- Autocorrelation and AIC
- Time Series Analysis in Python
Module 10 of 16, from about week 15
Artificial Intelligence and Deep Learning
AI Overview
- History of AI
- Areas of AI
- AI vs Data Science vs ML
TensorFlow Foundation
- TensorFlow Structure
- ML Modeling with TensorFlow
Deep Learning
- Perceptron
- Artificial Neural Networks
- Convolutional Neural Networks
Module 11 of 16, from about week 17
Computer Vision and NLP
Computer Vision
- Image Basics
- CNN
- Image Classification
- Cat vs Dogs Classification
Natural Language Processing
- Bag of Words
- Word Embedding
- BERT Algorithm
- Sentiment Analysis
- NLTK
- Regex
- Text Extraction with Regex
Module 12 of 16, from about week 18
Generative AI and Prompt Engineering
Generative AI
- AI vs ML vs DL vs Gen AI
- LLM Applications
- Chatbots
- Document Q&A Systems
- Resume Screening AI
- Applied Generative AI with Python
- Gen AI for EDA and Insight Generation
Prompt Engineering
- Prompt Basics
- Prompt Structure
- Zero Shot Prompting
- Few Shot Prompting
- Prompt Templates
Module 13 of 16, from about week 20
Model Deployment Basics
Deployment
- Flask Introduction
- FastAPI Basics
- URL and App Routing
- ML Model Deployment
Module 14 of 16, from about week 22
Version Control with Git
Git Fundamentals
- Git Introduction
- Git Installation
- Create and Clone Repository
- Git Commands
- Remote Repository
- Branching and Merging
- Merge Conflicts
- Stashing
- Rebasing
- Reverting
- Resetting
- Git Workflows
Module 15 of 16, from about week 23
Soft Skills and Spoken English
Communication Skills
- Business Communication
- Presentation Skills
- Group Discussion
- Interview Skills
- Vocabulary Building
- Grammar for Speaking
Professional Development
- Leadership
- Teamwork
- Problem Solving
- Time Management
- Stress Management
- Personality Development
Module 16 of 16, from about week 25
Capstone Projects and Career Preparation
Projects
- Retail Sales Analysis Dashboard
- E-commerce Database Analysis
- Executive Sales Dashboard
- Global Market Insights Dashboard
- Customer Churn Prediction
- Marketing Campaign Effectiveness Study
- AI-Powered Business Intelligence System
Career Preparation
- GitHub Analytics Portfolio
- Dashboard Portfolio
- AI Workflow Portfolio
- Resume Preparation
- Interview Preparation
Weeks are approximate. The trainer sets the actual pace for each batch, and placement preparation follows the last module.
Full syllabus
Data Science & Data Analytics with Generative AI syllabus on one page
16 modules and 214+ topics. Useful to read together as a family, or to compare with other institutes.
Excel for Data Analytics + AI
Excel Fundamentals: Excel Interface, Data Types, Data Cleaning, Sorting and Filtering, Data Formatting. Core Functions: IF Function, SUMIFS, COUNTIFS, VLOOKUP, XLOOKUP, INDEX MATCH, Text Functions, Date Functions. Advanced Excel: Pivot Tables, Pivot Charts, Conditional Formatting, Data Validation, Power Query Basics, Excel Dashboards. AI Tools for Excel: ChatGPT, SheetGPT, OpenAI API, AI-Powered Analytics Summaries
SQL for Data Analytics + AI
SQL Fundamentals: Database Concepts, SELECT Queries, WHERE Clause, ORDER BY, LIMIT. Data Filtering: AND / OR, BETWEEN, IN, LIKE. Aggregation and Joins: COUNT, SUM, AVG, GROUP BY, HAVING, INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN. Advanced SQL: Subqueries, Window Functions, CTE, Ranking Functions. AI Tools for SQL: SQLBuilder, ChatGPT for SQL Debugging, Auto Query Generation, SQL Optimization
Power BI
Power BI Fundamentals: Power BI Interface, Data Import, Data Transformation, Data Modeling, Relationships. DAX: CALCULATE, FILTER, SUMX, Time Intelligence. Visualization: KPI Dashboards, Business Reports, Interactive Charts
Tableau
Tableau Fundamentals: Tableau Interface, Data Connections, Calculated Fields, Filters and Parameters. Visualizations: Heat Maps, Geo Maps, Trend Charts, Story Dashboards
Python for Data Analytics + AI
Python Basics: Variables, Data Structures, Loops, Functions, Conditional Statements. Python Libraries: NumPy, Pandas, Matplotlib, Seaborn. Data Processing: Data Cleaning, Missing Value Handling, Data Transformation. Exploratory Data Analysis: Distribution Analysis, Correlation Analysis, Trend Detection. AI-Driven Python Analytics: AI-Assisted Code Generation, Data Visualization Scripts, Debugging with ChatGPT
Statistics for Data Analytics
Descriptive Statistics: Mean, Median, Mode, Variance, Standard Deviation, Percentiles. Probability and Distributions: Normal Distribution, Binomial Distribution, Poisson Distribution. Hypothesis Testing: Z-Test, T-Test, Chi-Square Test, ANOVA. Regression: Correlation, Linear Regression. AI-Assisted Statistical Analysis: ChatGPT for Statistics, PandasAI, Regression Output Interpretation, AI Generated Statistical Insights
Generative AI for Data Analysts
Generative AI Foundations: What is Generative AI, Large Language Models, Prompt Engineering. AI Tools: ChatGPT, OpenAI APIs, SheetGPT, PandasAI, SQLBuilder. Applications: AI-Assisted Coding, AI Data Interpretation, Automated Report Generation, AI-Powered Analytics Workflows
Machine Learning with Python
Machine Learning Introduction: ML vs AI, Supervised vs Unsupervised Learning, Clustering, Classification, Regression. Regression Algorithms: Linear Regression, Logistic Regression. Classification and Clustering: K Means Clustering, Hierarchical Clustering, KNN, SVM. Advanced ML Algorithms: Decision Tree, Random Forest, Naive Bayes, Gradient Boosting, XGBoost, PCA
Advanced Data Science
Time Series Forecasting: Time Series Basics, Trend and Seasonality, Stationarity, Autoregressive Model, Moving Average Model, ARIMA, Autocorrelation and AIC, Time Series Analysis in Python
Artificial Intelligence and Deep Learning
AI Overview: History of AI, Areas of AI, AI vs Data Science vs ML. TensorFlow Foundation: TensorFlow Structure, ML Modeling with TensorFlow. Deep Learning: Perceptron, Artificial Neural Networks, Convolutional Neural Networks
Computer Vision and NLP
Computer Vision: Image Basics, CNN, Image Classification, Cat vs Dogs Classification. Natural Language Processing: Bag of Words, Word Embedding, BERT Algorithm, Sentiment Analysis, NLTK, Regex, Text Extraction with Regex
Generative AI and Prompt Engineering
Generative AI: AI vs ML vs DL vs Gen AI, LLM Applications, Chatbots, Document Q&A Systems, Resume Screening AI, Applied Generative AI with Python, Gen AI for EDA and Insight Generation. Prompt Engineering: Prompt Basics, Prompt Structure, Zero Shot Prompting, Few Shot Prompting, Prompt Templates
Model Deployment Basics
Deployment: Flask Introduction, FastAPI Basics, URL and App Routing, ML Model Deployment
Version Control with Git
Git Fundamentals: Git Introduction, Git Installation, Create and Clone Repository, Git Commands, Remote Repository, Branching and Merging, Merge Conflicts, Stashing, Rebasing, Reverting, Resetting, Git Workflows
Soft Skills and Spoken English
Communication Skills: Business Communication, Presentation Skills, Group Discussion, Interview Skills, Vocabulary Building, Grammar for Speaking. Professional Development: Leadership, Teamwork, Problem Solving, Time Management, Stress Management, Personality Development
Capstone Projects and Career Preparation
Projects: Retail Sales Analysis Dashboard, E-commerce Database Analysis, Executive Sales Dashboard, Global Market Insights Dashboard, Customer Churn Prediction, Marketing Campaign Effectiveness Study, AI-Powered Business Intelligence System. Career Preparation: GitHub Analytics Portfolio, Dashboard Portfolio, AI Workflow Portfolio, Resume Preparation, Interview Preparation
Tools
Software you will use
- Python
- NumPy
- Pandas
- Scikit-Learn
- TensorFlow
- PyTorch
- OpenAI APIs
- LangChain
- Power BI
- SQL
- Tableau
- Git
model = LinearRegression()
model.fit(X_train, y_train)
print(model.score(X_test, y_test))Projects
Projects for the resume
Enterprise Customer Churn Prediction & Lifetime Value System
Predictive ML pipeline analyzing customer retention data with XGBoost, SMOTE balancing & interactive executive dashboard.
Generative AI Document Assistant (RAG Pipeline)
Intelligent document QA engine utilizing LangChain, OpenAI embeddings & vector database for PDF analysis.
Medical Disease Diagnostic Classifier
Deep learning computer vision CNN model trained on healthcare scans with high classification accuracy.
- Machine Learning, Deep Learning & Generative AI with LLMs
- 100% Placement Assistance with MNC Data Science roles
- Hands-on with NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch
- Prompt Engineering & LangChain AI Application Development
- 4 Real-Time Industrial ML/AI Capstone Projects
- Tailored for Engineering, B.Sc, BCA & Math/Stats Graduates
Careers
After Data Science & Data Analytics with Generative AI
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Generative AI Engineer
Stay close
Solapur and remote roles
Local IT companies, startups, MIS and support roles in Solapur businesses, and remote jobs for candidates with a strong portfolio.
Most common
Pune
Hinjawadi, Kharadi, Magarpatta and Baner. Fortune Cloud's Pune head office and centres keep supporting you after you move.
Also popular
Hyderabad and Bengaluru
Solapur sits between Pune and Hyderabad. Many graduates take product and capability-centre roles in Hyderabad and Bengaluru.
Batches for Data Science & Data Analytics with Generative AI
Weekday daytime
Classroom sessions plus open lab hours, for graduates who can give the course their full day.
Weekday evening
After college hours, for students of Solapur's engineering, BCA, BSc and commerce colleges.
Weekend
Saturday and Sunday sessions for working people and students travelling in from nearby towns.
Live online
Same trainers and syllabus from home, with lab visits to Dufferin Chowk when you come to Solapur.
Stay or move?
Learn Data Science & Data Analytics with Generative AI from home, move after the offer
Compare living costs for the length of this course. Change the example figures to your own.
These are example figures. Change them to your own; nothing you type is saved or sent.
Living costs during the course
Staying home could keep about
₹81,000
in the family, with the same course fee, syllabus and placement support.
Where our students work
Companies Where Our Engineers Are Placed..!
More Inspirations
Video stories of Fortune Cloud graduates who trained, cleared interviews and got placed.
Student reviews
5 out of 5 on Google from 100+ reviews.
4.8 ★ from 1196+ verified students - not paid reviews
Check us on Google before you check anywhere else. Real ratings, authentic student profiles, real career placements.
"Best IT training institute in Pune for freshers. The Java Full Stack course covers Core Java, Spring Boot, Microservices..."
"Completed my Software Testing course with AI tools here. The practical hands-on experience and real project testing help..."
"Great learning environment and supportive mentors. Python, Machine Learning modules, and Power BI dashboards were explai..."
"Faculty is very experienced and AWS certified. They focus on practical labs and scenario-based questions which are cruci..."
"Flexible weekend batch options and 100% placement support. The mentors are available to solve doubts anytime during proj..."
"Went from zero code background to a ₹6.5 LPA offer in 4 months. The training provided was well-structured, practical, an..."
"Completed the Data Analytics and Data Science (DADS) program at Fortune Cloud Technologies, and it was a great learning..."
"I had a great learning experience at Fortune Cloud Technologies while completing the Data Analyst & AWS course. The trai..."
"The Python Full Stack program gave me in-depth knowledge of FastAPI, Django, PostgreSQL and React. The daily practice co..."
"Power BI, SQL queries, and Advanced Excel classes were pure practicals. The trainers gave us weekly business case studie..."
"Excellent training for .NET Core, Microservices, and C#. The live industrial project exposure made me stand out in techn..."
"Hands-on labs on network security, ethical hacking tools, and vulnerability assessment. Mentors are real industry practi..."
"Manual plus Selenium automation testing with Java & AI automation tools. Mock interviews held every week helped remove m..."
"AWS Architecture, Terraform, Docker, and Kubernetes were taught thoroughly. Got placed in a top MNC with an awesome pack..."
"React, Node.js, MongoDB, and Next.js covered end-to-end. Building full-fledged AI SaaS apps as capstone projects was the..."
"Structured module training with real SAP server access. The trainer explained enterprise accounting workflows and config..."
"SEO, Google Ads, Meta Ads & Content Strategy with live campaign budgets. Practical experience was 100 times better than..."
"Zero to hero in Java development. Mentors helped resolve code bugs even late in the evening. Placed at a reputed IT prod..."
"Best IT training institute in Pune for freshers. The Java Full Stack course covers Core Java, Spring Boot, Microservices..."
"Completed my Software Testing course with AI tools here. The practical hands-on experience and real project testing help..."
"Great learning environment and supportive mentors. Python, Machine Learning modules, and Power BI dashboards were explai..."
"Faculty is very experienced and AWS certified. They focus on practical labs and scenario-based questions which are cruci..."
"Flexible weekend batch options and 100% placement support. The mentors are available to solve doubts anytime during proj..."
"Went from zero code background to a ₹6.5 LPA offer in 4 months. The training provided was well-structured, practical, an..."
"Completed the Data Analytics and Data Science (DADS) program at Fortune Cloud Technologies, and it was a great learning..."
"I had a great learning experience at Fortune Cloud Technologies while completing the Data Analyst & AWS course. The trai..."
"The Python Full Stack program gave me in-depth knowledge of FastAPI, Django, PostgreSQL and React. The daily practice co..."
"Power BI, SQL queries, and Advanced Excel classes were pure practicals. The trainers gave us weekly business case studie..."
"Excellent training for .NET Core, Microservices, and C#. The live industrial project exposure made me stand out in techn..."
"Hands-on labs on network security, ethical hacking tools, and vulnerability assessment. Mentors are real industry practi..."
"Manual plus Selenium automation testing with Java & AI automation tools. Mock interviews held every week helped remove m..."
"AWS Architecture, Terraform, Docker, and Kubernetes were taught thoroughly. Got placed in a top MNC with an awesome pack..."
"React, Node.js, MongoDB, and Next.js covered end-to-end. Building full-fledged AI SaaS apps as capstone projects was the..."
"Structured module training with real SAP server access. The trainer explained enterprise accounting workflows and config..."
"SEO, Google Ads, Meta Ads & Content Strategy with live campaign budgets. Practical experience was 100 times better than..."
"Zero to hero in Java development. Mentors helped resolve code bugs even late in the evening. Placed at a reputed IT prod..."
Data Science & Data Analytics with Generative AI in Solapur: FAQs
When is the next free demo of Data Science & Data Analytics with Generative AI in Solapur?
New Data Science & Data Analytics with Generative AI demo dates are being scheduled. Share a number with the form and the counsellor will book a seat in the next demo at Dufferin Chowk or online.
How long is the Data Science & Data Analytics with Generative AI course at Fortune Cloud Solapur?
Data Science & Data Analytics with Generative AI runs for about 6 Months, followed by placement preparation. Weekday, evening, weekend and live online batches are available in Solapur.
What does a student learn in Data Science & Data Analytics with Generative AI, in simple words?
The student learns to find patterns in data and build AI and machine learning models that make predictions. The course starts from basics and ends with projects and interview preparation.
Can students from Pandharpur, Barshi or Akkalkot join Data Science & Data Analytics with Generative AI?
Yes. Students from nearby towns usually pick weekend batches, so they travel fewer days, or live online batches with visits to the Dufferin Chowk lab.
Where can I work after Data Science & Data Analytics with Generative AI?
Common first roles are Data Scientist, Machine Learning Engineer, Data Analyst. Most Solapur students take their first job in Pune, Hyderabad or Bengaluru; some find local or remote roles.
What placement help do Data Science & Data Analytics with Generative AI students get in Solapur?
Resume and LinkedIn reviews, aptitude practice, mock technical and HR interviews, and profile sharing for hiring drives with Fortune Cloud's partner companies until the student is placed.
What educational background is required for Data Science?
Graduates from B.E./B.Tech (any branch), B.Sc, BCA, BCS, MCA, Mathematics, or Statistics can successfully transition into Data Science. We teach programming and statistics from the ground up.
Does this course cover Generative AI and LLMs?
Yes! Generative AI, Prompt Engineering, LangChain, and RAG pipelines are core components of our 2026 syllabus.
मराठीत प्रश्न
आयटी पार्श्वभूमी नसतानाही कोर्स करता येईल का?
हो. सर्व कोर्स मूलभूत गोष्टींपासून सुरू होतात. बी.कॉम., बी.एस्सी., मेकॅनिकल किंवा इतर शाखांचे विद्यार्थी डेटा ॲनालिटिक्स किंवा सॉफ्टवेअर टेस्टिंगसारख्या कोर्सपासून सुरुवात करतात.
प्रवेशापूर्वी मोफत डेमो क्लास आहे का?
हो. कोणतेही शुल्क भरण्यापूर्वी तुम्ही मोफत डेमो क्लासला बसू शकता. फॉर्म भरा किंवा आम्हाला कॉल करा.
नोकरीसाठी मदत मिळते का?
हो. रिझ्युमे तयारी, ॲप्टिट्यूड सराव, मॉक इंटरव्ह्यू आणि भागीदार कंपन्यांच्या भरतीसाठी तुमची प्रोफाइल पाठवली जाते, नोकरी मिळेपर्यंत.
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Visit the Dufferin Chowk centre
3rd Floor, HR Heights, above RBL Bank, Railway Lines, Dufferin Chowk, Solapur, Maharashtra 413001Near Solapur railway station. Monday to Sunday, 8:30 AM to 8:00 PM.
Get directions
































































