About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Beginner Level

You should have a working knowledge of Python and Jupyter Notebooks. 

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

You should have a working knowledge of Python and Jupyter Notebooks. 

Approx. 14 hours to complete
English

Offered by

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IBM Skills Network

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Science in Computer Science from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

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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