Appintechnologylab

DATA ANALYTICS WITH PYTHON

Successful professionals with a progressive career path are those with a wealth of knowledge about market dynamics. They’re individuals who can translate data into information and information into insight, who can skillfully support data-driven decision-making. Their success comes from a combination of technical competence and analytical capabilities. They possess analytical agility, fully understand their company’s business problems, and know exactly what key stakeholders and management expect—communicating and visualizing data accordingly. Overall, they lead with analytics.



COURSE OUTLINE DAY WISE:
Lecture 1-2: Introduction to world of data and analytics
Lecture 3-6: Basics of python
Lecture 8-12: Pandas Dataframes
Lecture 13-18: Data Cleaning, python utilities and problem solving with government dataset 1.
Lecture 19-21: Problem solving with industrial dataset 1
Lecture 22-24: Data Visualization
Lecture 25-26: Problem solving with industrial dataset 3
Lecture 27-32: Reporting & Open discussions

ASSIGNMENTS:
1: Basics of python
2: Basics of pandas
3: Practice with government dataset 2
4: Practice with industry dataset 2
5: Generating reports for Business Questions

QUIZZES:
1: Python and Pandas basics
2: Practical test cases
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