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Data Analysis with Python
  • Level Foundation
  • المدة 15 ساعات hours
  • الطبع بواسطة IBM
  • Offered by

عن

Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models. Topics covered include: - collecting and importing data - cleaning, preparing & formatting data - data frame manipulation - summarizing data - building machine learning regression models - model refinement - creating data pipelines You will learn how to import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. You will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them. In addition to video lectures you will learn and practice using hands-on labs and projects. You will work with several open source Python libraries, including Pandas and Numpy to load, manipulate, analyze, and visualize cool datasets. You will also work with scipy and scikit-learn, to build machine learning models and make predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.

الوحدات

Importing Data Sets

    • 6 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Practice Quiz: Importing Data Sets

6 Videos

  • Course Introduction
  • Understanding the Data
  • Python Packages for Data Science
  • Importing and Exporting Data in Python
  • Getting Started Analyzing Data in Python
  • Accessing Databases with Python

1 Readings

  • Lesson Summary

Hands-on Labs: Importing Data Sets

    • 2 ExternalTool
    • 1 Plugin
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2 External Tool

  • Lab: Importing Data Sets - Used Cars Pricing
  • Lab: Importing Datasets - Laptop Pricing

Graded Quiz: Importing Data Sets

    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Graded Quiz: Importing Data Sets

Data Wrangling

    • 6 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Practice Quiz: Data Wrangling

6 Videos

  • Pre-processing Data in Python
  • Dealing with Missing Values in Python
  • Data Formatting in Python
  • Data Normalization in Python
  • Binning in Python
  • Turning Categorical Variables into Quantitative Variables in Python

1 Readings

  • Lesson Summary

Hands-on Lab: Data Wrangling

    • 2 ExternalTool
Show info about module content

2 External Tool

  • Lab: Data Wrangling - Used Cars Pricing
  • Lab: Data Wrangling - Laptop Pricing

Quiz: Data Wrangling

    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Graded Quiz: Data Wrangling

Exploratory Data Analysis

    • 5 Videos
    • 1 Readings
    • 2 Plugin
    • 1 Assignment
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1 Assignment

  • Practice Quiz: Exploratory Data Analysis

5 Videos

  • Exploratory Data Analysis
  • Descriptive Statistics
  • GroupBy in Python
  • Correlation
  • Correlation - Statistics

1 Readings

  • Lesson Summary

Hands-on Lab: Exploratory Data Analysis

    • 2 ExternalTool
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2 External Tool

  • Lab: Exploratory Data Analysis - Used Car Pricing
  • Lab: Exploratory Data Analysis - Laptop Pricing

Graded Quiz: Exploratory Data Analysis

    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Graded Quiz: Exploratory Data Analysis

Model Development

    • 6 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Practice Quiz: Model Development

6 Videos

  • Model Development
  • Linear Regression and Multiple Linear Regression
  • Model Evaluation using Visualization
  • Polynomial Regression and Pipelines
  • Measures for In-Sample Evaluation
  • Prediction and Decision Making

1 Readings

  • Lesson Summary

Hands-on Lab: Model Development

    • 2 ExternalTool
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2 External Tool

  • Lab: Model Development - Used Car Pricing
  • Lab: Model Development - Laptop Pricing

Quiz: Model Development

    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Graded Quiz: Model Development

Model Evaluation and Refinement

    • 4 Videos
    • 1 Readings
    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Practice Quiz: Model Evaluation and Refinement

4 Videos

  • Model Evaluation and Refinement
  • Overfitting, Underfitting and Model Selection
  • Ridge Regression
  • Grid Search

1 Readings

  • Lesson Summary

Hands-on Lab: Model Evaluation and Refinement

    • 2 ExternalTool
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2 External Tool

  • Lab: Model Evaluation and Refinement - Used Cars Pricing
  • Lab: Model Evaluation and Refinement - Laptop Pricing

Graded Quiz: Model Refinement

    • 1 Plugin
    • 1 Assignment
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1 Assignment

  • Graded Quiz: Model Evaluation and Refinement

Practice Project

    • 1 ExternalTool
    • 1 Plugin
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1 External Tool

  • Practice Project - Data Analytics for Insurance Cost Data Set

Final Project

    • 1 Readings
    • 1 PeerReview
    • 1 ExternalTool
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1 External Tool

  • Lab for Final Project - Data Analytics for House Pricing Data Set

1 Peer Review

  • Submit your Project and Review Others

1 Readings

  • Final Project Scenario

Final Exam

    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Final Exam

1 Readings

  • Cheat Sheet: Data Analysis for Python

Digital Badge

    • 1 Readings
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1 Readings

  • IBM Digital Badge

Acknowledgments

    • 2 Readings
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2 Readings

  • Congratulations and Next Steps
  • Thanks from the Course Team

Auto Summary

"Data Analysis with Python" is a foundational course in Data Science & AI, tailored for aspiring Data Scientists and Analysts. Led by Coursera, it covers essential skills such as data importing, cleaning, manipulation, and visualization using Python libraries like Pandas, Numpy, scipy, and scikit-learn. Learners will also build and evaluate machine learning regression models and create data pipelines. The course includes hands-on labs and projects, lasting approximately 900 minutes. Upon completion, participants can earn a Coursera certificate and an IBM digital badge. Subscription options include a Starter plan.

Joseph Santarcangelo
Instructor

Joseph Santarcangelo