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

Offered by

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IBM

Syllabus - What you will learn from this course

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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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