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

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

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

Content RatingThumbs Up92%(11,199 ratings)Info
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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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