Data Science – From Python to Machine Learning & AI

This comprehensive Data Science course provides practical training on data handling, statistical analysis, machine learning, and AI techniques to help you become a data-driven professional. You’ll start with Python programming for data manipulation, learn core statistics for analysis, and explore advanced machine learning algorithms.

The course also covers data visualization, predictive modeling, and real-time project implementation, enabling you to solve business problems effectively.

By the end of the course, you’ll be confident in building data-driven solutions, creating predictive models, and applying AI techniques to real-world scenarios.

Tech Stack Covered :

Python for Data Science:
Master Python fundamentals and libraries like Pandas, NumPy, Matplotlib, and Seaborn for efficient data handling and visualization.

Statistics & Probability:
Understand descriptive and inferential statistics, hypothesis testing, and probability concepts for data-driven decision-making.

Machine Learning & AI:
Learn supervised and unsupervised learning, regression, classification, clustering, and basic deep learning concepts using Scikit-learn and TensorFlow.

Data Visualization:
Create impactful dashboards and visual reports using Matplotlib, Seaborn, and advanced tools like Power BI or Tableau.

Real-Time Projects:
Work on projects like predictive analytics, customer segmentation, and sentiment analysis to gain practical experience.