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. 16 hours to complete
English
Subtitles: Arabic, Vietnamese, Korean, Turkish, 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. 16 hours to complete
English
Subtitles: Arabic, Vietnamese, Korean, Turkish, English

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Importing Datasets

2 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 Data4m
Python Packages for Data Science4m
Importing and Exporting Data in Python4m
Getting Started Analyzing Data in Python4m
Importing Datasets16m
Week
2

Week 2

2 hours to complete

Data Wrangling

2 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 Python6m
Data Formatting in Python4m
Data Normalization in Python4m
Turning categorical variables into quantitative variables in Python4m
Data Wrangling12m
Week
3

Week 3

2 hours to complete

Exploratory Data Analysis

2 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 Statistics4m
GroupBy in Python4m
Correlation4m
Correlation - Statistics4m
Exploratory Data Analysis14m
Week
4

Week 4

2 hours to complete

Model Development

2 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 Regression4m
Model Evaluation using Visualization4m
Polynomial Regression and Pipelines4m
Measures for In-Sample Evaluation4m
Model Development15m
.

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