About this Course
4.6
2,587 ratings
351 reviews

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 7 hours to complete

Suggested: This course requires approximately two hours a week for six weeks....

English

Subtitles: English, Arabic

Skills you will gain

Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 7 hours to complete

Suggested: This course requires approximately two hours a week for six weeks....

English

Subtitles: English, Arabic

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Importing Datasets

...
5 videos (Total 15 min), 6 quizzes
5 videos
Understanding the Data2m
Python Packages for Data Science2m
Importing and Exporting Data in Python4m
Getting Started Analyzing Data in 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
2 hours to complete

Data Wrangling

...
6 videos (Total 19 min), 6 quizzes
6 videos
Dealing with Missing Values in Python5m
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
2 hours to complete

Exploratory Data Analysis

...
6 videos (Total 18 min), 6 quizzes
6 videos
Descriptive Statistics4m
GroupBy in Python3m
Correlation2m
Correlation - Statistics2m
Analysis of Variance ANOVA3m
5 practice exercises
Descriptive Statistics4m
GroupBy in Python4m
Correlation4m
Correlation - Statistics4m
Exploratory Data Analysis14m
Week
4
2 hours to complete

Model Development

...
6 videos (Total 26 min), 6 quizzes
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
4.6
351 ReviewsChevron Right

46%

started a new career after completing these courses

44%

got a tangible career benefit from this course

Top Reviews

By OAJul 13th 2018

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

By TAFeb 10th 2019

Really this course shows the full path to master the Data Analysis with Python. This path is short, helpful, and rich information their. thank you at all and thank you Coursera

Instructor

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

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.

More questions? Visit the Learner Help Center.