1.   Python Essentials for Data Science:  

   – Master Python programming specifically tailored for data science.

   – Develop proficiency in using Python libraries for data manipulation, analysis, and visualization.

2.   Practical Data Science Applications:  

   – Explore real-world applications of data science using Python.

   – Gain hands-on experience in cleaning, analyzing, and visualizing data.

3.   Introduction to Machine Learning:  

   – Integrate machine learning concepts into Python programming.

   – Understand how Python supports machine learning frameworks for data science.

4.   Hands-On Data Science Projects:  

   – Apply Python programming to real data science projects.

   – Develop practical skills in extracting insights and patterns from data.

 Course Outcomes: 

1.Python Proficiency for Data Science:  

  – Acquire expertise in using Python for data manipulation and analysis.

  – Implement data visualization techniques with confidence.

2.Applied Data Science Concepts:  

  – Explore and understand real-world applications of data science using Python.

  – Develop skills to clean, analyze, and visualize data effectively.

3.Practical Machine Learning Skills:  

  – Integrate machine learning concepts into Python for data science applications.

  – Apply machine learning techniques to derive insights from data.

  Embark on a journey into Python programming for data science, unlocking the power to analyze and visualize data with precision!