About this Course

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Shareable Certificate
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Intermediate Level

This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.  

Approx. 17 hours to complete
English

What you will learn

  • Demonstrate proficiency in data science and machine learning techniques using a real-world data set and prepare a report for stakeholders 

  • Apply your skills to perform data collection, data wrangling, exploratory data analysis, data visualization model development, and model evaluation

  • Write Python code to create machine learning models including support vector machines, decision tree classifiers, and k-nearest neighbors

  • Evaluate the results of machine learning models for predictive analysis, compare their strengths and weaknesses and identify the optimal model 

Skills you will gain

  • Methodology
  • Github
  • Jupyter Notebook
  • Data Science Methodology
  • K-Means Clustering
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.
Intermediate Level

This course requires working knowledge of Python programming, Data Analysis, Data Visualization, SQL, Model Development and Evaluation.  

Approx. 17 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
7 hours to complete

Introduction

7 hours to complete
3 videos (Total 10 min), 1 reading, 8 quizzes
Week
2
Week 2
3 hours to complete

Exploratory Data Analysis (EDA)

3 hours to complete
1 video (Total 2 min)
Week
3
Week 3
3 hours to complete

Interactive Visual Analytics and Dashboard

3 hours to complete
1 video (Total 2 min)
Week
4
Week 4
2 hours to complete

Predictive Analysis (Classification)

2 hours to complete
1 video (Total 1 min)

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