Data science - Globe Creater

Data Science and AI Course in Pune

Data Science Course in Pune at Globe Creater Kothrud with IBM certification and placement support

We are living in the age of Artificial Intelligence. Every industry — from healthcare and banking to retail and education — is being transformed by AI, machine learning and data-driven decision making.

Companies are no longer just looking for data analysts. They want professionals who understand machine learning, can work with AI tools, and know how to apply Generative AI in real business contexts.

Globe Creater’s Data Science and AI Course in Kothrud Pune is designed for exactly this moment. Our program covers the complete journey — from Python basics and data analysis all the way to Machine Learning, Deep Learning, and Generative AI — with real projects, IBM certification, and dedicated placement support to help you land a high-paying role in Pune’s growing AI and data sector.

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Data Science roadmap 2026 — complete learning path from Python to Machine Learning at Globe Creater Kothrud Pune

Why Data Science and AI is the Most In-Demand Career in 2026

Artificial Intelligence is no longer a future concept — it is happening right now, in every industry. Organizations are investing heavily in AI talent, and the demand for skilled professionals is growing faster than the supply.

Every Company Needs AI Professionals

From predicting customer behavior to automating operations, AI is being adopted across banking, healthcare, e-commerce, logistics, education and government. Every one of these sectors needs professionals who can build and manage AI solutions.

Generative AI is Creating Entirely New Job Roles

The rise of tools like ChatGPT, Google Gemini and GitHub Copilot has created brand new roles — Prompt Engineer, AI Product Analyst, LLM Developer, AI Solutions Consultant — that did not exist three years ago. Professionals who understand how these models work and how to apply them are in extremely high demand right now.

Strong Salaries Even at Fresher Level

Data Science and AI roles consistently offer some of the highest starting salaries in the Indian IT market. Freshers with strong Python, Machine Learning and AI skills are being hired at packages significantly above the average IT fresher salary in Pune.

Future-Proof Career

Unlike some technology skills that become outdated quickly, expertise in data science and AI only becomes more valuable over time as adoption increases across every industry.

Key Advantages of Globe Creater’s Data Science and AI Course

Curriculum Covering Both Data Science and AI

Most institutes offer either a data science course or an AI course separately. At Globe Creater, our program integrates both — giving you a complete, connected skill set that covers the entire data-to-AI pipeline, from collecting and cleaning data to building intelligent models and deploying AI solutions.

Generative AI Module Included

Our course includes a dedicated Generative AI module — covering Large Language Models (LLMs), prompt engineering, AI APIs, and how to build AI-powered applications. This is one of the most searched and hired-for skill sets in 2026.3

Real Industry Projects

Students work on real-world projects using actual industry datasets — not sample exercises. By the time you complete the course, you have a portfolio of data science and AI projects you can showcase directly to recruiters.

IBM Certification

Every student who completes the program receives a Globe Creater certificate and an IBM certification — an internationally recognized credential that adds significant authority to your profile when applying for data science and AI roles.

100% Placement Assistance

Globe Creater provides complete placement support — resume building, LinkedIn optimization, mock technical interviews, AI interview question preparation, and direct referrals to data science and AI hiring companies in Pune.

Who Should Join This Course

Fresh graduates from any stream — engineering, BCA, BSc, BCom, BA
Final year students who want to enter the AI and data field immediately after graduation
Working professionals from IT or non-IT backgrounds who want to shift to AI roles
Software developers who want to add Machine Learning and AI to their skill set
Business analysts who want to upgrade to data science and AI capabilities
Anyone with zero coding experience who wants to start from absolute basics
Professionals who want to learn Generative AI and prompt engineering for their current role

Data Science and AI Course Syllabus at Globe Creater

Module 1 — Python Programming for Data Science and AI

• Python basics — variables, data types, operators, loops, functions
• Object-Oriented Programming in Python
• File handling and exception management
• NumPy — arrays, matrix operations, mathematical functions
• Pandas — DataFrames, data loading, filtering, grouping, merging
• Data cleaning and preprocessing techniques
• Working with CSV, Excel, JSON and API data in Python

Module 2 — Statistics and Mathematics for Data Science

• Descriptive statistics — mean, median, mode, variance, standard deviation
• Probability fundamentals and distributions
• Normal, Binomial and Poisson distributions
• Hypothesis testing — t-test, chi-square test, ANOVA
• Correlation, covariance and regression fundamentals
• Linear algebra basics for machine learning and deep learning

Module 3 — Data Analysis and Visualization

• Exploratory Data Analysis (EDA) techniques
• Data visualization with Matplotlib and Seaborn
• Creating interactive dashboards with Power BI
• Tableau — charts, filters, calculated fields, dashboards
• Storytelling with data — presenting insights to non-technical audiences
• Excel for data analysis — pivot tables, VLOOKUP, advanced functions

Module 4 — SQL for Data Science

• SQL basics — SELECT, WHERE, GROUP BY, ORDER BY
• Joins — INNER, LEFT, RIGHT, FULL OUTER
• Subqueries and window functions
• Aggregate functions and analytical queries
• Connecting Python to SQL databases
• Writing business intelligence queries for real data problems

Module 5 — Machine Learning

• Introduction to Machine Learning — supervised vs unsupervised vs reinforcement
• Linear Regression and Logistic Regression
• Decision Trees and Random Forests
• K-Nearest Neighbors (KNN)
• Support Vector Machines (SVM)
• K-Means Clustering and DBSCAN
• Model evaluation — accuracy, precision, recall, F1 score, ROC-AUC
• Overfitting, underfitting and cross-validation
• Feature engineering, selection and dimensionality reduction (PCA)
• Scikit-learn — building, training and evaluating models
• Model deployment basics with Flask

Module 6 — Deep Learning and Neural Networks

• Introduction to Artificial Neural Networks (ANN)
• Activation functions, loss functions and optimizers
• Building neural networks with TensorFlow and Keras
• Convolutional Neural Networks (CNN) — image classification
• Recurrent Neural Networks (RNN) and LSTM — sequence data
• Transfer Learning — using pre-trained models
• Introduction to Natural Language Processing (NLP)
• Text classification, sentiment analysis and named entity recognition

Module 7 — Generative AI and Large Language Models

• What is Generative AI — how it works and why it matters
• Introduction to Large Language Models (LLMs) — GPT, Gemini, LLaMA
• Prompt Engineering — writing effective prompts for AI models
• Using OpenAI API and Google Gemini API in Python
• Building AI-powered applications with LLM APIs
• Retrieval Augmented Generation (RAG) — basics
• LangChain framework — building AI pipelines
• AI Agents — introduction and real-world use cases
• Responsible AI — ethics, bias and limitations of Generative AI
• Real-world Generative AI project — build an AI assistant application

Module 8 — Time Series and Advanced Analytics

• Time Series Analysis fundamentals
• ARIMA and SARIMA models for forecasting
• Sales and demand forecasting project
• Anomaly detection techniques
• Recommendation Systems — collaborative and content-based filtering

Module 9 — Real-World Projects and Portfolio Building

• End-to-end data science project — from raw data to deployed model
• Customer churn prediction project
• Sales forecasting with time series
• Sentiment analysis using NLP
• Generative AI application project
• Power BI business dashboard project
• GitHub portfolio setup — hosting and presenting your projects
• Project documentation and presentation for interviews

Career Opportunities After This Course

Completing Globe Creater’s Data Science and AI course opens doors to some of the highest-demand and best-paying roles in Pune’s IT sector:

Data Scientist
Data Analyst
Machine Learning Engineer
AI Engineer
Deep Learning Engineer
NLP Engineer
Generative AI Developer
Business Intelligence Analyst
Power BI / Tableau Developer
AI Solutions Consultant
Prompt Engineer

Globe Creater’s placement team actively connects students with hiring companies across Pune’s finance, technology, healthcare and e-commerce sectors. Our alumni have been placed at IT companies, analytics firms, AI startups and product companies with packages starting from 3.5+ LPA.

Course Features at a Globe Creater’s

Duration: 7 to 8 months
Total Training Hours: 90+ hours
Assignments: 50+ hours of practical assignments
Skill Level: Beginner to Advanced
Mode: Offline classroom at Kothrud Pune + Online option available
Batch Options: Weekday and Weekend batches
Certification: Globe Creater + IBM certification
Placement: 100% placement assistance
Fees: Competitive pricing with installment options available

Frequently Asked Questions

Does the Data Science course at Globe Creater include Artificial Intelligence and Generative AI?

Yes. Globe Creater’s Data Science course includes dedicated modules on Machine Learning, Deep Learning, Natural Language Processing, and Generative AI — covering Large Language Models, prompt engineering, OpenAI API, LangChain and building real AI-powered applications.

Can I learn Data Science and AI at Globe Creater without any coding background?

Absolutely. The course starts from Python basics — no prior programming experience is needed. Many of our students come from commerce, arts and non-IT backgrounds and have successfully completed the program and gotten placed in data and AI roles.

What is Generative AI and why is it included in the course?

Generative AI refers to AI systems that can generate text, images, code and other content — examples include ChatGPT and Google Gemini. It is one of the fastest growing and most hired-for skill areas in 2026. Globe Creater includes a full Generative AI module so students are prepared for the jobs companies are actively hiring for right now.

What certifications do I receive after Globe Creater’s Data Science and AI course?

You receive a Globe Creater course completion certificate and an IBM certification — an internationally recognized credential that adds strong authority to your profile when applying for data science and AI roles.

What tools will I learn in the Data Science and AI course at Globe Creater?

You will learn Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, OpenAI API, Google Gemini API, LangChain, SQL, Power BI, Tableau, Excel, Jupyter Notebook and Git — the complete toolkit that data science and AI employers test for.

Does Globe Creater provide placement support after the Data Science and AI course?

Yes. Globe Creater provides 100% placement assistance including resume building, LinkedIn optimization, mock technical interviews with AI and data science questions, and direct referrals to hiring companies in Pune.

How long is the Data Science and AI course at Globe Creater?

The course runs for 5 to 7 months covering 100+ hours of training and 50+ hours of project work. Weekday and weekend batches are available with morning and evening slots.

Where is Globe Creater located in Pune?

Globe Creater is located at Survey No 127/3, Plot No 12, Mayur Colony, Karve Road Kothrud, Pune 411038. Call +91 93568 89109 for directions or to book a free demo class.