About this Course

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Beginner Level
Approx. 14 hours to complete
English

What you will learn

  • Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data

  • Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy

  • Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines

  • Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making

Skills you will gain

  • Predictive Modelling
  • Python Programming
  • Data Analysis
  • Data Visualization (DataViz)
  • Model Selection
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Approx. 14 hours to complete
English

Offered by

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IBM Skills Network

Syllabus - What you will learn from this course

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Week
1

Week 1

2 hours to complete

Importing Datasets

2 hours to complete
6 videos (Total 20 min), 1 reading, 6 quizzes
Week
2

Week 2

2 hours to complete

Data Wrangling

2 hours to complete
6 videos (Total 19 min), 1 reading, 6 quizzes
Week
3

Week 3

2 hours to complete

Exploratory Data Analysis

2 hours to complete
6 videos (Total 20 min), 1 reading, 6 quizzes
Week
4

Week 4

2 hours to complete

Model Development

2 hours to complete
6 videos (Total 27 min), 1 reading, 6 quizzes

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