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Data Science, Machine Learning, Data Analysis, Python & R

FREE Python and R Programming Course on Data Science, Machine Learning, Data Analysis, and Data Visualization

(*)(*)(*)(*)(*)4.4
2.6K reviews
duration

8 h 7 m

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(*)(*)(*)(*)(*)4.4
171 reviews
duration

1 h 58 m

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Master Data Analysis with Python - Intro to Pandas

Begin your Python data analysis journey by learning the fundamentals of the pandas library.

(*)(*)(*)(*)(*)4.5
372 reviews
duration

1 h 49 m

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Free Data Analysis Tutorial - Introduction to Data Analysis for Government

Get started on your journey to become a government data analysis rockstar. - Free Course

(*)(*)(*)(*)(*)4.6
1K reviews
duration

1 h 12 m

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Social Media Data Analytics

After taking this course, you will be able to: - Utilize various Application Programming Interface (API) services to collect data from different social media

(*)(*)(*)(*)(*)4.1
293 reviews
duration

13 h

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Data Analysis with Python

Learn Data Analysis with Python from IBM. Learn how to analyze data using Python.

(*)(*)(*)(*)(*)4.7
18.6K reviews
duration

16 h

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3D Data Visualization for Science Communication

This course introduces 3D scientific data visualisation, with a focus on science communication and cinematic design to appeal to a wide range of audiences. You will gain visualisation literacy by being able to interpret/analyze (read) visualisations and create (write) your own.

duration

32 h

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Natural Language Processing and Capstone Assignment

Hello and welcome to Natural Language Processing and the Capstone Project. We will begin with a Recognize how technical and business techniques can be used to deliver business insight, competitive intelligence, and consumer sentiment in this course.

(*)(*)(*)(*)(*)4.4
36 reviews
duration

5 h

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を使った畳み込みニューラルネットワーク

ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。

duration

10 h

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Data Analysis and Interpretation Capstone

The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. You will use real world data to complete a project with our industry and academic partners.

(*)(*)(*)(*)(*)4.7
47 reviews
duration

10 h

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Data Mining Project

This six-week long Project course of the Data Mining Specialization will allow you to apply the learned algorithms and techniques for data mining from the previous courses in the Specialization

(*)(*)(*)(*)(*)4.5
45 reviews
duration

11 h

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Data Analysis and Representation, Selection and Iteration

Learn Data Analysis and Representation, Selection and Iteration from University of Colorado System.

(*)(*)(*)(*)(*)4.7
24 reviews
duration

11 h

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Meaningful Predictive Modeling

Learn Meaningful Predictive Modeling from University of California San Diego. This course will help us to evaluate and compare the models we have developed in previous courses.

(*)(*)(*)(*)(*)4.3
48 reviews
duration

11 h

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Increasing Real Estate Management Profits: Harnessing Data Analytics

In this final course you will complete a Capstone Project using data analysis to recommend a method for improving profits for your company, Watershed Property Management, Inc.

(*)(*)(*)(*)(*)4.7
176 reviews
duration

23 h




Data analysis is the backbone of decision-making in industries like business, healthcare, and technology. Free Data Analysis Courses online provide a unique opportunity for learners at all levels to acquire essential skills without financial constraints. These courses offer a flexible and accessible way to gain expertise, from introductory concepts to advanced techniques.

Benefits of Learning Data Analysis Online
  • Cost-effective learning with free resources.
  • Flexible schedules for working professionals and students.
  • Access to expert-led training from top instructors.
  • Opportunities to build a strong foundation in data analytics and statistics.
Top Free Data Analysis Courses Covered
  • Introduction to Data Analysis and Statistics.
  • Using Excel for Data Visualization and Analysis.
  • Python Programming for Data Science.
  • SQL for Data Analytics.
  • Big Data Fundamentals and Applications.
Key Skills You’ll Learn
  • Data cleaning and preprocessing techniques.
  • Statistical analysis and hypothesis testing.
  • Data visualization using tools like Tableau and Power BI.
  • Programming skills in Python, R, or SQL.
  • Predictive analytics and machine learning basics.
How to Get Started with Free Data Analysis Courses
  • Research available courses on platforms like Coursera, edX, and Udemy.
  • Sign up for a free account on your preferred platform.
  • Choose a beginner-friendly course or one that aligns with your career goals.
  • Commit to regular practice and apply what you learn through projects.
Certification Opportunities

Many free data analysis courses offer certificates upon completion. These certificates can enhance your resume and demonstrate your skills to potential employers, helping you stand out in the competitive job market.

FAQs
How do I learn data analysis for free?

You can learn data analysis for free by enrolling in online courses offered by platforms like Coursera, edX, and Kaggle, which provide foundational and advanced resources at no cost.

Are free data analysis courses worth it?

Yes, free data analysis courses are highly valuable for building foundational skills and exploring the field without financial investment.

What skills will I learn in a free data analysis course?

You'll learn data cleaning, statistical analysis, data visualization, and programming in tools like Excel, Python, or R.

How long does it take to complete a free data analysis course?

Course duration varies, typically ranging from a few hours to several weeks, depending on the course content and your pace.

What are the prerequisites for free data analysis courses?

Most beginner courses require no prerequisites, while advanced courses may recommend basic knowledge of mathematics or programming.

Which tools are taught in free data analysis courses (e.g., Excel, Python)?

Common tools include Excel for basic analysis, Python and R for programming, and Tableau or Power BI for data visualization.