Python for Data Science

Week by week (official course layout)

1. Week 1: BASICS OF PYTHON SPYDER (TOOL) • Introduction Spyder • Setting working Directory • Creating and saving a script file • File execution, clearing console, removing variables from environment, clearing environment • Commenting script files • Variable creation • Arithmetic and logical operators • Data types and associated operations
2. Week 2: Sequence data types and associated operations • Strings • Lists • Arrays • Tuples • Dictionary • Sets • Range NumPy • ndArray
3. Week 3: Pandas dataframe and dataframe related operations on Toyota Corolla dataset Reading files Exploratory data analysis Data preparation and preprocessing Data visualization on Toyoto Corolla dataset using matplotlib and seaborn libraries Scatter plot Line plot Bar plot Histogram Box plot Pair plot Control structures using Toyota Corolla dataset if-else family for loop for loop with if break while loop Functions
4. Week 4: CASE STUDY Regression Predicting price of pre-owned cars Classification Classifying personal income

Topics as the course page lists them. Weekly assignment due dates are shown only inside the course after a SWAYAM sign-in, so they are not here — check the course page every week.

This course's certificate rule

Average assignment score = 25% of average of best 3 assignments out of the total 4 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100 Final score = Average assignment score + Exam score Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week. YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

As printed on the course page. General rules: NPTEL FAQ.