About this Course

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Shareable Certificate
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Course 8 of 8 in the
Flexible deadlines
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Intermediate Level

It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.

Approx. 13 hours to complete
English

Skills you will gain

Microsoft ExcelData AnalysisSQL and RDBMSData Visualization (DataViz)Dashboard
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 8 of 8 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

It is highly recommend that you have completed all of the courses in the IBM Data Analyst Professional Certificate prior to starting this course.

Approx. 13 hours to complete
English

Offered by

Placeholder

IBM

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Data Collection

4 hours to complete
1 video (Total 3 min), 7 readings, 3 quizzes
1 video
7 readings
Introduction To Capstone Project5m
Syllabus2m
(Optional) Hands-on Lab 1: Review Of Accessing APIs45m
Hands-on Lab 2: Collecting Data Using APIs45m
Hands-on Lab 3: Review Of Web Scraping30m
Hands-on Lab 4: Collecting Data Using Web Scraping30m
Hands-on Lab 5: Explore the Data Set30m
3 practice exercises
Graded Quiz: Collecting Data5m
Graded Quiz: Web Scraping5m
Graded Quiz: Exploring Data5m
Week
2

Week 2

1 hour to complete

Data Wrangling

1 hour to complete
7 readings
7 readings
Assignment Overview5m
Jupyter Notebook For Labs In This Module2m
Hands-on Lab 8: Finding Duplicates6m
Hands-on Lab 9: Removing Duplicates6m
Hands-on Lab 6: Finding Missing Values6m
Hands-on Lab 7: Imput Missing Values6m
Hands-on Lab 10: Normalizing Data6m
5 practice exercises
Graded Quiz: Duplicates5m
Graded Quiz: Removing Duplicates5m
Graded Quiz: Missing Values5m
Graded Quiz: Imputing Missing Values5m
Graded Quiz: Normalizing Data5m
Week
3

Week 3

1 hour to complete

Exploratory Data Analysis

1 hour to complete
5 readings
5 readings
Assignment Overview5m
Jupyter Notebook For Labs In This Module2m
Hands-on Lab 11: Finding How The Data Is Distributed10m
Hands-on Lab 12: Finding Outliers10m
Hands-on Lab 13: Finding Correlation10m
3 practice exercises
Graded Quiz: Distribution5m
Graded Quiz: Handling Outliers5m
Graded Quiz: Correlation5m
Week
4

Week 4

1 hour to complete

Data Visualization

1 hour to complete
10 readings
10 readings
Assignment Overview5m
Jupyter Notebook For Labs In This Module2m
Hands-on Lab 14: Histograms5m
Hands-on Lab 15: Box Plots5m
Hands-on Lab 16: Scatter Plots5m
Hands-on Lab 17: Bubble Plots5m
Hands-on Lab 18: Pie Charts5m
Hands-on Lab 19: Stacked Charts5m
Hands-on Lab 20: Line Charts5m
Hands-on Lab 21: Bar Charts5m
4 practice exercises
Graded Quiz: Visualizing Distribution Of Data5m
Graded Quiz: Visualizing Relationship5m
Graded Quiz: Visualizing Composition of Data5m
Graded Quiz: Visualizing Comparison of Data5m

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