Lessons in this course

Lessons in this course

Lessons 1: Introduction to Data Science
  • What is Data Science?

  • Applications of Data Science in Various Industries

  • Overview of the Data Science Workflow

  • Essential Tools and Technologies (Python, Jupyter Notebooks, Excel)

Lessons 2: Data Collection and Preparation
  • Understanding Data Sources

  • Data Cleaning: Identifying and Handling Missing or Inaccurate Data

  • Data Formatting and Transformation Techniques

  • Introduction to Pandas for Data Manipulation

Lessons 3: Exploratory Data Analysis (EDA)
  • The Importance of EDA in Data Science

  • Descriptive Statistics: Mean, Median, Mode, and Standard Deviation

  • Using Pandas for Summarizing and Filtering Data

  • Data Visualization with Matplotlib and Seaborn

Lessons 4: Introduction to Machine Learning
  • What is Machine Learning?

  • Types of Machine Learning: Supervised vs. Unsupervised Learning

  • Introduction to Algorithms (Linear Regression, K-Means Clustering)

  • Building Your First Machine Learning Model

Lessons 5: Data Visualization and Communication
  • The Art of Storytelling with Data

  • Creating Effective Charts, Graphs, and Dashboards

  • Tools and Libraries for Visualization (Matplotlib, Seaborn, and Plotly)

Lessons 6: Capstone Project
  • End-to-End Project: Solve a Real-World Data Problem

  • Dataset Exploration, Cleaning, and Analysis

  • Presenting Your Findings: Visualizations and Summary

Lessons 1: Introduction to Data Science
  • What is Data Science?

  • Applications of Data Science in Various Industries

  • Overview of the Data Science Workflow

  • Essential Tools and Technologies (Python, Jupyter Notebooks, Excel)

Lessons 2: Data Collection and Preparation
  • Understanding Data Sources

  • Data Cleaning: Identifying and Handling Missing or Inaccurate Data

  • Data Formatting and Transformation Techniques

  • Introduction to Pandas for Data Manipulation

Lessons 3: Exploratory Data Analysis (EDA)
  • The Importance of EDA in Data Science

  • Descriptive Statistics: Mean, Median, Mode, and Standard Deviation

  • Using Pandas for Summarizing and Filtering Data

  • Data Visualization with Matplotlib and Seaborn

Lessons 4: Introduction to Machine Learning
  • What is Machine Learning?

  • Types of Machine Learning: Supervised vs. Unsupervised Learning

  • Introduction to Algorithms (Linear Regression, K-Means Clustering)

  • Building Your First Machine Learning Model

Lessons 5: Data Visualization and Communication
  • The Art of Storytelling with Data

  • Creating Effective Charts, Graphs, and Dashboards

  • Tools and Libraries for Visualization (Matplotlib, Seaborn, and Plotly)

Lessons 6: Capstone Project
  • End-to-End Project: Solve a Real-World Data Problem

  • Dataset Exploration, Cleaning, and Analysis

  • Presenting Your Findings: Visualizations and Summary

Lessons 1: Introduction to Data Science
  • What is Data Science?

  • Applications of Data Science in Various Industries

  • Overview of the Data Science Workflow

  • Essential Tools and Technologies (Python, Jupyter Notebooks, Excel)

Lessons 2: Data Collection and Preparation
  • Understanding Data Sources

  • Data Cleaning: Identifying and Handling Missing or Inaccurate Data

  • Data Formatting and Transformation Techniques

  • Introduction to Pandas for Data Manipulation

Lessons 3: Exploratory Data Analysis (EDA)
  • The Importance of EDA in Data Science

  • Descriptive Statistics: Mean, Median, Mode, and Standard Deviation

  • Using Pandas for Summarizing and Filtering Data

  • Data Visualization with Matplotlib and Seaborn

Lessons 4: Introduction to Machine Learning
  • What is Machine Learning?

  • Types of Machine Learning: Supervised vs. Unsupervised Learning

  • Introduction to Algorithms (Linear Regression, K-Means Clustering)

  • Building Your First Machine Learning Model

Lessons 5: Data Visualization and Communication
  • The Art of Storytelling with Data

  • Creating Effective Charts, Graphs, and Dashboards

  • Tools and Libraries for Visualization (Matplotlib, Seaborn, and Plotly)

Lessons 6: Capstone Project
  • End-to-End Project: Solve a Real-World Data Problem

  • Dataset Exploration, Cleaning, and Analysis

  • Presenting Your Findings: Visualizations and Summary

Course overview

Unlock the power of data with this beginner-friendly course designed to introduce you to the fundamentals of data science. Whether you're an aspiring data scientist, a professional looking to enhance your skills, or simply curious about the field, this course will equip you with the tools and knowledge to begin your journey.

Course overview

Unlock the power of data with this beginner-friendly course designed to introduce you to the fundamentals of data science. Whether you're an aspiring data scientist, a professional looking to enhance your skills, or simply curious about the field, this course will equip you with the tools and knowledge to begin your journey.

Meet your teacher

Instructor Image
Robert Dawson

Business Intelligence Specialist

As a renowned UX designer and CEO of Clearleft, Robert helps companies like The BBC, Virgin, and Penguin Random House with issues of digital transformation. As one of the first pioneers of web standards, his blog and best-selling book CSS Mastery: Web Standards Solutions helped set the tone for progressive web-design in the UK. Robert is a regular speaker at international conferences like SXSW, An Event Apart See full profile.

Meet your teacher

Instructor Image
Robert Dawson

Business Intelligence Specialist

As a renowned UX designer and CEO of Clearleft, Robert helps companies like The BBC, Virgin, and Penguin Random House with issues of digital transformation. As one of the first pioneers of web standards, his blog and best-selling book CSS Mastery: Web Standards Solutions helped set the tone for progressive web-design in the UK. Robert is a regular speaker at international conferences like SXSW, An Event Apart See full profile.

Review of this course

Jan 17, 2025

"I started with zero knowledge of data science, but the course broke everything down into easy-to-follow lessons. The hands-on projects gave me real-world experience, and now I’m excelling as a data analyst. This course truly changed my career trajectory!"

User Image
Jason Diaz

Data Analyst

Jan 17, 2025

"I started with zero knowledge of data science, but the course broke everything down into easy-to-follow lessons. The hands-on projects gave me real-world experience, and now I’m excelling as a data analyst. This course truly changed my career trajectory!"

User Image
Jason Diaz

Data Analyst

Jan 21, 2025

"Edumile’s expert instructors and interactive content made learning data science not just effective, but enjoyable. The skills I gained helped me optimize processes in my startup, and now I’m using data-driven insights to scale my business. Highly recommended!"

User Image
Desmond Andrade

Startup Founder

Jan 21, 2025

"Edumile’s expert instructors and interactive content made learning data science not just effective, but enjoyable. The skills I gained helped me optimize processes in my startup, and now I’m using data-driven insights to scale my business. Highly recommended!"

User Image
Desmond Andrade

Startup Founder

Review of this course

Jan 17, 2025

"I started with zero knowledge of data science, but the course broke everything down into easy-to-follow lessons. The hands-on projects gave me real-world experience, and now I’m excelling as a data analyst. This course truly changed my career trajectory!"

User Image
Jason Diaz

Data Analyst

Jan 21, 2025

"Edumile’s expert instructors and interactive content made learning data science not just effective, but enjoyable. The skills I gained helped me optimize processes in my startup, and now I’m using data-driven insights to scale my business. Highly recommended!"

User Image
Desmond Andrade

Startup Founder

Course information

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Lessons

25 Lessons

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Duration

2 hours 30 min

Student:

1,200

Student:

1,200

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Language:

English

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Language:

English

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Subtitles:

English, spanish, French

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Subtitles:

English, spanish, French

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Additional recourses:

12 files

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Additional recourses:

12 files

Feature Icon

Duration:

2 hours 30 min

Feature Icon

Duration:

2 hours 30 min

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Certificate:

Upon completion of the course

Feature Icon

Certificate:

Upon completion of the course

Course information

File Icon

Lessons

25 Lessons

Watch Icon

Duration

2 hours 30 min

Student:

1,200

Feature Icon

Language:

English

Feature Icon

Subtitles:

English, spanish, French

Feature Icon

Additional recourses:

12 files

Feature Icon

Duration:

2 hours 30 min

Feature Icon

Certificate:

Upon completion of the course

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Our mission is to provide accessible, affordable, and impactful learning, empowering learners to achieve goals with expert support.

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