About this Course

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Learner Career Outcomes

42%

started a new career after completing these courses

41%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 24 hours to complete
English

Skills you will gain

Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection

Learner Career Outcomes

42%

started a new career after completing these courses

41%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 24 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Content RatingThumbs Up93%(17,475 ratings)Info
Week
1

Week 1

4 hours to complete

Importing Datasets

4 hours to complete
6 videos (Total 20 min)
6 videos
Understanding the Data2m
Python Packages for Data Science2m
Importing and Exporting Data in Python4m
Getting Started Analyzing Data in Python4m
Accessing Databases with Python4m
5 practice exercises
Understanding the Data30m
Python Packages for Data Science30m
Importing and Exporting Data in Python30m
Getting Started Analyzing Data in Python30m
Importing Datasets30m
Week
2

Week 2

4 hours to complete

Data Wrangling

4 hours to complete
6 videos (Total 19 min)
6 videos
Dealing with Missing Values in Python6m
Data Formatting in Python3m
Data Normalization in Python3m
Binning in Python1m
Turning categorical variables into quantitative variables in Python2m
5 practice exercises
Dealing with Missing Values in Python30m
Data Formatting in Python30m
Data Normalization in Python4m
Turning categorical variables into quantitative variables in Python30m
Data Wrangling30m
Week
3

Week 3

4 hours to complete

Exploratory Data Analysis

4 hours to complete
6 videos (Total 19 min)
6 videos
Descriptive Statistics4m
GroupBy in Python3m
Correlation2m
Correlation - Statistics2m
Analysis of Variance ANOVA4m
5 practice exercises
Descriptive Statistics30m
GroupBy in Python30m
Correlation30m
Correlation - Statistics30m
Exploratory Data Analysis30m
Week
4

Week 4

4 hours to complete

Model Development

4 hours to complete
6 videos (Total 27 min)
6 videos
Linear Regression and Multiple Linear Regression6m
Model Evaluation using Visualization4m
Polynomial Regression and Pipelines4m
Measures for In-Sample Evaluation3m
Prediction and Decision Making5m
5 practice exercises
Linear Regression and Multiple Linear Regression30m
Model Evaluation using Visualization30m
Polynomial Regression and Pipelines30m
Measures for In-Sample Evaluation30m
Model Development15m

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