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Data Science 1 Course

Welcome to Data Science 1 Course, learn matplotlib, pandas, and more. Explore and visualize data with Python!

Data Science 1 Course

Welcome to Data Science 1 Course, learn matplotlib, pandas, and more. Explore and visualize data with Python!

Course card image for Data Science 1
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Data Science with Python Course

Advanced Level
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5 units, 36 lessons
161 Activities

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Recommended for Ages 14+

Web

No Prerequisites

Python

Python is one of the most popular high-level programming languages today. It is easy to read and flexible for use in functional or object-oriented programming paradigms. Its many useful libraries make it a favorite choice for scripting, machine learning, data science, and more.

What Kids Learn

  • Analyze and visualize data in Python
  • Complete 159 coding activities
  • Explore types of data visualization
  • Create charts with Python libraries
  • Use real world data in a final project

How Kids Learn with Tynker

Kids learn on their own with a guided, hands-on approach that individualizes the learning experience. Tynker's online courses provide a complete learning system for your child to master the fundamentals of programming. Tynker's visual programming language makes it easy to learn, and once kids gain proficiency, they can seamlessly transition to Javascript coding within the Tynker learning system. Enroll in one of our plans for unlimited play across all courses.

Game-Based Learning

Tynker's self-guided lessons break down coding concepts while solving puzzles and making cool apps.

Interactive Assessments

Quick practice quizzes and assessment tests evaluate a child's comprehension of subjects taught.

Captivating Topics

There's always something to learn with multiple subjects, projects, and coding languages available.

System Requirements

Online courses require a desktop computer, laptop computer, Chromebook, or Netbook with Internet connection and a Chrome (29+), Firefox (30+), Safari (7+), or Edge (20+) browser. No downloads required. Courses are not supported on tablets.

Minecraft courses and server access is available to verified accounts. Minecraft for Windows 10 is required for Training Day, Agent Recall, Gears of Time, Mythicraft, and Mind Crafters courses. Content and courses are subject to changes. NOT AN OFFICIAL MINECRAFT PRODUCT. NOT APPROVED BY OR ASSOCIATED WITH MOJANG.

Lesson image for: Unit 1: Introduction

Unit 1: Introduction

Explore the fundamentals of statistics and how to use Python for data analysis.

8 Modules:

  • 1.1: Welcome
  • 1.2: What is Data Analysis?
  • 1.3: Python Refresher
  • 1.4: Start Your Analysis
  • 1.5: Back to Python
  • 1.6: Review
  • 1.7: Quiz
  • 1.8: Lab: Exploring Real Data
Lesson image for: Unit 2: Graphs

Unit 2: Graphs

Create basic graphs with matplotlib: Line charts, bar charts, histograms, and more.

7 Modules:

  • 2.1: Bar Graphs and Histograms
  • 2.2: Line Graphs
  • 2.3: Scatter Plots
  • 2.4: Customizing Plots
  • 2.5: Review
  • 2.6: Quiz
  • 2.7: Lab: Rainfall
Lesson image for: Unit 3: DataFrames

Unit 3: DataFrames

Manipulate your datasets using DataFrames, a data type in pandas.

7 Modules:

  • 3.1: Creating Dataframes
  • 3.2: Creating Random Data
  • 3.3: Manipulating Data Sets
  • 3.4: Variation of a Normal Curve
  • 3.5: Review
  • 3.6: Quiz
  • 3.7 Lab: Olympics Medals
Lesson image for: Unit 4: Complex Charts

Unit 4: Complex Charts

Learn about advanced chart types, and explore how to customize your figures.

9 Modules:

  • 4.1: Box Plots
  • 4.2: Area Plots
  • 4.3: Lab: Sea Level Anomaly
  • 4.4: Creating Figures
  • 4.5: Customizing Figures
  • 4.6: Complex Bar Graphs
  • 4.7: Pie Charts
  • 4.8: Review
  • 4.9: Quiz
Lesson image for: Unit 5: Capstone Project

Unit 5: Capstone Project

Put your data skills to the test in this open-ended coding challenge.

5 Modules:

  • 5.1 Day 1: Intro to Final Lab
  • 5.2 Day 2: Load Data, Initial Charts
  • 5.3 Day 3: Charts Complete
  • 5.4 Day 4: Polish, Customize, Document
  • 5.5 Day 5: Final Report

Problem Solving

Evaluate task goals and identify steps to reach them.

Critical Thinking

Analyze and develop logical solutions to problems.

Decision Making

Determine options in the execution of a task with differing outcomes.

Data

Categorize and apply different forms of digital data.

Communication

Connect with other users and discuss project topics.

Research

Collect information about a topic from various sources.

Creativity

Produce varied artistic output using coding and other digital skills.

Design

Outline and explain the behavior of the interactive elements in a program.

Math

Utilize arithmetic, algebra, or geometry in a coding project.

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Choose a Plan to Accelerate Learning

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$25 $10 /month Now $120 billed annually cancel any time
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$780 $312 one time payment 28% savings over Quarterly

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