Data Science Course in Jaipur – Python, Machine Learning & AI Training
Build practical, job-ready skills with Groot Academy’s Data Science Course in Jaipur. Learn Python, NumPy, Pandas, SQL, statistics, data visualization, machine learning, feature engineering, model evaluation, Power BI and introductory AI concepts through hands-on projects.
What You Will Learn
- Python programming and Jupyter Notebook
- NumPy and Pandas for data manipulation
- Exploratory Data Analysis and visualization
- Statistics and probability for data science
- SQL for data analysis
- Supervised and unsupervised machine learning
- Feature engineering and model evaluation
- Deep learning, NLP, computer vision and Generative AI fundamentals
- Power BI dashboards and business intelligence
- Live projects and a final capstone project
Related Courses
Explore our Data Analytics Course in Jaipur, Machine Learning Course in Jaipur, Artificial Intelligence Course in Jaipur, Generative AI Course in Jaipur, Python Programming Course in Jaipur and Power BI Course in Jaipur.
Practical Learning and Career Support
Build your portfolio with Live Project Training, explore Internship Programs and learn about Placement Assistance.
Frequently Asked Questions
Is this Data Science course suitable for beginners?
Yes. The course starts with Python and analytics fundamentals before progressing to machine learning and advanced concepts.
Which tools and technologies will I learn?
You will work with Python, Jupyter Notebook, NumPy, Pandas, SQL, Matplotlib, Seaborn, Scikit-learn and Power BI.
Are projects included?
Yes. The curriculum includes prediction, segmentation, analytics and dashboard projects plus a final capstone project.
Curriculum
- 15 Sections
- 150 Lessons
- 6 Weeks
- Introduction to Data Science10
- 1.1Introduction to Data Science
- 1.2Data Science Lifecycle
- 1.3Role of a Data Scientist
- 1.4Data Science vs Data Analytics
- 1.5Types of Data
- 1.6Structured and Unstructured Data
- 1.7Data Collection and Data Sources
- 1.8Data-Driven Decision Making
- 1.9Data Science Career Opportunities
- 1.10Setting Up the Data Science Environment
- Python Fundamentals10
- Python for Data Science10
- Exploratory Data Analysis10
- Data Visualization10
- Statistics and Probability10
- SQL for Data Science10
- Machine Learning Fundamentals10
- Data Preprocessing and Feature Engineering10
- Supervised Machine Learning10
- Unsupervised Machine Learning10
- Machine Learning Model Evaluation10
- Advanced Data Science Concepts10
- 13.1Introduction to Deep Learning
- 13.2Neural Network Fundamentals
- 13.3Introduction to Natural Language Processing
- 13.4Text Data Processing
- 13.5Introduction to Computer Vision
- 13.6Introduction to Generative AI
- 13.7Model Deployment Concepts
- 13.8APIs for Data Science Applications
- 13.9Responsible AI and Ethics
- 13.10Data Science Industry Best Practices
- Power BI for Data Science10
- Data Science Live Projects10
- 15.1Sales Prediction Project
- 15.2Customer Churn Prediction
- 15.3House Price Prediction
- 15.4Customer Segmentation Project
- 15.5Marketing Analytics Project
- 15.6Financial Data Analysis
- 15.7Sentiment Analysis Project
- 15.8Machine Learning Classification Project
- 15.9Power BI Analytics Dashboard
- 15.10Final Data Science Capstone Project
