Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
Offered By
IBMAbout this Course
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Learner Career Outcomes
33%
started a new career after completing these courses
35%
got a tangible career benefit from this course
11%
got a pay increase or promotion
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. 25 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish, Persian
Skills you will gain
Predictive ModellingPython ProgrammingData AnalysisData Visualization (DataViz)Model Selection
Learner Career Outcomes
33%
started a new career after completing these courses
35%
got a tangible career benefit from this course
11%
got a pay increase or promotion
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. 25 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish, Persian
Offered by
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.
Syllabus - What you will learn from this course
4 hours to complete
Importing Datasets
4 hours to complete
6 videos (Total 20 min), 1 reading, 6 quizzes
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
1 reading
Lesson Summary1m
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
4 hours to complete
Data Wrangling
4 hours to complete
6 videos (Total 19 min), 1 reading, 6 quizzes
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
1 reading
Lesson Summary10m
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
5 hours to complete
Exploratory Data Analysis
5 hours to complete
6 videos (Total 20 min), 1 reading, 7 quizzes
6 videos
Descriptive Statistics4m
GroupBy in Python3m
Correlation2m
Correlation - Statistics2m
Association between two categorical variables: Chi-Square4m
1 reading
Lesson Summary1m
6 practice exercises
Descriptive Statistics30m
GroupBy in Python30m
Correlation30m
Correlation - Statistics30m
Association between two categorical variables: Chi-Square30m
Exploratory Data Analysis30m
4 hours to complete
Model Development
4 hours to complete
6 videos (Total 27 min), 1 reading, 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
1 reading
Lesson Summary1m
5 practice exercises
Linear Regression and Multiple Linear Regression30m
Model Evaluation using Visualization30m
Polynomial Regression and Pipelines30m
Measures for In-Sample Evaluation30m
Model Development15m
Reviews
TOP REVIEWS FROM DATA ANALYSIS WITH PYTHON
by SCMay 5, 2020
I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
by RPApr 19, 2019
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
by SCAug 11, 2020
Thank you very much to the instructors. I liked the course but it could have been better designed. More exercises ascending from easy to hard & real and teaching quiz questions would make it perfect.
by MAJul 28, 2020
AN excellent course. Hands-on training on the cloud makes an individual really involved. So far the best online course I have ever taken, and I have learned Python programming a lot from this course.
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