1.   Essential Data Analysis Skills:  

   – Develop essential skills in data analysis, including cleaning, processing, and visualization.

   – Gain proficiency in using tools for effective data exploration.

2.   Programming for Data Analysis:  

   – Acquire foundational programming skills, particularly in Python, for data analysis.

   – Learn to manipulate and analyze data efficiently using Python libraries.

3.   Statistical Analysis and Reporting:  

   – Explore statistical analysis techniques for data-driven decision-making.

   – Develop the ability to create meaningful reports based on data insights.

4.   Practical Data Projects:  

   – Engage in hands-on projects that mimic real-world data analysis scenarios.

   – Apply analytical skills to derive actionable insights from data.

Course Outcomes:  

1.Data Analysis Proficiency:  

  – Develop essential skills in data cleaning, processing, and visualization.

  – Use tools and techniques for effective data exploration.

2.Programming for Data Analysis:  

  – Acquire foundational programming skills, particularly in Python.

  – Manipulate and analyze data efficiently using Python libraries.

3.Statistical Analysis and Reporting Skills:  

  – Apply statistical analysis techniques for data-driven decision-making.

  – Create meaningful reports based on data insights.

  Embark on a journey into data analysis, equipping yourself with the skills to interpret and communicate insights from diverse datasets!