4 courses for Data science

No prior coding experience? No problem! This beginner-friendly Python for Data Science course equips you with the fundamental programming skills to launch into data science. Learn core Python concepts, explore essential libraries like NumPy and Pandas, and master data manipulation and visualization using Jupyter Notebooks. By the end, you'll be writing Python scripts and transforming data into insights.

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Eligible : Open To all Freshers & College Students (UG,PG) What We Offer ? (Mode : Online Remote ) ✅ Internship + Training with Offer Letter & Course Completion Certificate ✅ ₹25,000 Per Month Internship For 6 Months After Course Completion . ✅PPO up to 4.5–8 LPA( Based on internship performance ) ✅ Duration: 1 to 6 Months . ✅ Weekend Live Session: Every Sunday at 6 PM ✅ Letter of Recommendation Included ✅ 100% Placement Support After Course + Projects ✅ 4 Minor & 2 Major Real-Time Projects ✅ Lab Sessions for Every Chapter ✅ Artificial intelligence: Scratch to Advanced Level ✅ Recorded Theory & Lab Sessions + Weekly Assignments 📘 Data Science – Course Index – Scratch to Advance 1.Introduction to Data Science 2. Mathematics for Data Science (Linear Algebra, Calculus, Probability, Statistics) 3. Python for Data Science (NumPy, Pandas, Matplotlib) 4. Data Collection & Data Sources 5. Data Cleaning & Preprocessing 6. Exploratory Data Analysis (EDA) 7. Data Visualization (Matplotlib, Seaborn, Plotly) 8. Feature Engineering 9. Machine Learning Basics 10. Supervised Learning Algorithms 11. Unsupervised Learning Algorithms 12. Model Evaluation & Metrics 13. Hyperparameter Tuning 14. Model Deployment Basics 15. Deep Learning Introduction 16. Neural Networks & Backpropagation 17. Convolutional Neural Networks (CNN) 18. Natural Language Processing (NLP) 19. Time Series Analysis 20. Recommender Systems 21. Big Data Basics (Hadoop, Spark – Intro) 22. Cloud & ML Deployment (AWS, GCP, Azure – Intro) 23. Data Pipelines & MLOps (Intro) 24. Data Science Tools (Jupyter, Colab, Git, APIs)

Unlock the power of Python programming with a structured, hands-on approach. This course will guide you through: The fundamentals of Python syntax and concepts Writing efficient Python code for real-world applications Working with data, loops, functions, and libraries Building projects that reinforce your learning Tips and best practices from industry experts to write clean, maintainable Python code Whether you’re starting from scratch or looking to sharpen your skills, this course provides a clear path to becoming a confident Python programmer.