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Get courses from $13.99 for a limited time

A special offer for new students

Get courses from $13.99 for a limited time |

A special offer for new students

Introduction to Data Science

Introduction to Data Science

Introduction to Data Science

Course Overview

Are you ready to unlock the power of data and launch your career in one of the fastest-growing fields in tech?


This complete Introduction to Data Science course is designed for absolute beginners who want to become data-driven professionals. In just a few weeks, you’ll go from no experience to confidently handling, analyzing, and visualizing data.


Throughout the course, we’ll cover a wide range of essential tools and concepts, including:


  1. Python (The primary language for data science tasks)

  2. Pandas and NumPy (For efficient data manipulation and computation)

  3. Matplotlib and Seaborn (For data visualization and storytelling)

  4. SQL (To query and manage data in databases)

  5. Basic Statistics and Probability (To understand and interpret data)

  6. Introduction to Machine Learning (Get started with predictive models)

What you will learn

Overview of data science concepts, tools, and platforms.

Understanding data collection, cleaning, and preprocessing.

Applying basic statistics and data visualization techniques.

Exploring machine learning fundamentals and model evaluation.

Addressing data ethics, privacy, and best practices.

FINAL PROJECT: Analyze a real-world dataset and present insights using data science tools.

Course Curriculum

37

Lessons

(

18 hours

)

What is Data Science?

Introduction to Data Science and its Importance

38 minutes

to complete

Data Collection and Cleaning

44 minutes

to complete

Data Exploration and Analysis

28 minutes

to complete

Machine Learning Algorithms

1 hour 20 minutes

to complete

Data Visualization and Reporting

40 minutes

to complete

Exploring Data with Python and Pandas

Setting Up Your Data Science Environment

What is Data Science?

Introduction to Data Science and its Importance

38 minutes

to complete

Data Collection and Cleaning

44 minutes

to complete

Data Exploration and Analysis

28 minutes

to complete

Machine Learning Algorithms

1 hour 20 minutes

to complete

Data Visualization and Reporting

40 minutes

to complete

Exploring Data with Python and Pandas

Setting Up Your Data Science Environment

What is Data Science?

Introduction to Data Science and its Importance

38 minutes

to complete

Data Collection and Cleaning

44 minutes

to complete

Data Exploration and Analysis

28 minutes

to complete

Machine Learning Algorithms

1 hour 20 minutes

to complete

Data Visualization and Reporting

40 minutes

to complete

Exploring Data with Python and Pandas

Setting Up Your Data Science Environment

Course Review
James

James

"Introduction to Data Science was a great course that helped me build a strong foundation in web development and programming. I especially appreciated how it covered both front-end technologies like HTML and JavaScript, and back-end tools like PHP and MySQL. The final project, a dynamic website with a login system, was a rewarding challenge. Highly recommend for anyone looking to start their journey in web development!"

Mark

Mark

I am in the middle of the course and it is fantastic, this course has helped me build an excellent foundation for interface designing.

A person displying network program
$
10.99

$

20.99

48

%

off

37

Lessons

Approx

18 hours

to complete

Beginner

Level

English Language

Full Lifeime Access

Certificate of completion

Last Update 15 August, 2023

A person displying network program
$
10.99

$

20.99

48

%

off

37

Lessons

Approx

18 hours

to complete

Beginner

Level

English Language

Full Lifeime Access

Certificate of completion

Last Update 15 August, 2023

A person displying network program
$
10.99

$

20.99

48

%

off

37

Lessons

Approx

18 hours

to complete

Beginner

Level

English Language

Full Lifeime Access

Certificate of completion

Last Update 15 August, 2023

Instructor
Cameron Williamson, Data Scientist

Cameron Williamson

Data Scientist

Top Instructor

4658

Students

32

Courses

Cameron Williamson is a seasoned Data Scientist with a deep passion for extracting insights from complex datasets. Having honed his skills from a young age, he has spent years working with large-scale data and machine learning algorithms, continuously refining his techniques to uncover meaningful patterns. Cameron’s expertise spans across data visualization, statistical analysis, and predictive modeling. His approach to data science combines creativity and analytical rigor, ensuring that each project he tackles results in actionable insights that drive decision-making. Whether it's creating data pipelines, conducting deep dives into customer behaviour, or optimizing business processes, Cameron's passion for data has led him to become a valuable asset in any data-driven team.

Instructor
Cameron Williamson, Data Scientist

Cameron Williamson

Data Scientist

Top Instructor

4658

Students

32

Courses

Cameron Williamson is a seasoned Data Scientist with a deep passion for extracting insights from complex datasets. Having honed his skills from a young age, he has spent years working with large-scale data and machine learning algorithms, continuously refining his techniques to uncover meaningful patterns. Cameron’s expertise spans across data visualization, statistical analysis, and predictive modeling. His approach to data science combines creativity and analytical rigor, ensuring that each project he tackles results in actionable insights that drive decision-making. Whether it's creating data pipelines, conducting deep dives into customer behaviour, or optimizing business processes, Cameron's passion for data has led him to become a valuable asset in any data-driven team.

Instructor
Cameron Williamson, Data Scientist

Cameron Williamson

Data Scientist

Top Instructor

4658

Students

32

Courses

Cameron Williamson is a seasoned Data Scientist with a deep passion for extracting insights from complex datasets. Having honed his skills from a young age, he has spent years working with large-scale data and machine learning algorithms, continuously refining his techniques to uncover meaningful patterns. Cameron’s expertise spans across data visualization, statistical analysis, and predictive modeling. His approach to data science combines creativity and analytical rigor, ensuring that each project he tackles results in actionable insights that drive decision-making. Whether it's creating data pipelines, conducting deep dives into customer behaviour, or optimizing business processes, Cameron's passion for data has led him to become a valuable asset in any data-driven team.