Home Collections Data Science Academy – Free Online Courses with Certificates

Data Science Academy – Free Online Courses with Certificates

494
0
Data Science Academy

Interested in getting hands-on all the learning content related to data science? Takethiscourse.net Data Science Academy presents to you a list containing the details of data science free online courses with certificates. With the help of these courses, not only will you be able to learn all about data science but for free. So let us move forward to find out about the courses and their details.

  1. What is Data Science?
  2. A Crash Course in Data Science
  3. Python for Data Science
  4. Elements of Data Science (MicroBachelors Program)
  5. Data Science Methodology
  6. Spatial Data Science and Applications
  7. Data Science
  8. Statistics and Data Science
  9. Analytics: Essential Tools and Methods
  10. Probability and Statistics in Data Science using Python

ADIntroduction to Big Data

      • University of California San Diego via Coursera
      • 17 hours of effort required
      • 244,173+ already enrolled!
      • ★★★★★ (9,317 Ratings)

Data Science Academy Courses:

Here are the top 10 Data Science courses from TakeThisCourse.net Data Science Academy.

saveWhat is Data Science?

      • IBM via Coursera
      • 10 hours of effort required
      • 391,964+ already enrolled!
      • ★★★★★ (42,835 Ratings)

This Data Science Academy course as the name says is going to explain to you what data science exactly is? Through this course, you will meet some of the data science practitioners who will give you an overview of today’s data science. You will understand what data scientists do and the type of tools and algorithms they use on a daily basis. Similarly, you will understand the process of mining a given dataset and all about regression analysis. After that, the instructor will give a detailed explanation of the approaches companies use to work with data science. Thus upon completing the course, you will have to solve different open-ended questions by applying all the knowledge you learned.

saveA Crash Course in Data Science

      • John Hopkins University via Coursera
      • 7 hours of effort required
      • 168,399+ already enrolled!
      • ★★★★★ (7,310 Ratings)

A very helpful Data Science Academy course that has been designed to get you up to speed on the field of data science. The course encloses in it all the topics relevant to data science that you should know of. You will learn to manage your team and understand all the requirements there are in this field. Starting the course, the instructor is going to describe the role of data science in various contexts. Then he is going to talk about how statistics and machine learning plays an important part in data science.

Similarly, you will also understand the software engineering part of this field. Going further, you will get a chance to understand the structure of a data science project. In addition, there will be a detailed discussion of the key terms and tools that are used by data scientists.

Complete list of 150+ Data Science and Big Data Online Courses is also available at TakeThisCourse.net.

save

Python for Data Science

      • University of California San Diego via edX
      • 10 Weeks (8-10 hours weekly) of effort required
      • 273,944+ already enrolled!
      • Skill Level: Advanced

This is a very detailed Data Science Academy course that will help you learn to use all the powerful and open-source Python tools in the most effective possible manner. This includes learning to use Git and Matplotlib, Pandas, and more. Learning to use these tools will enable you to manipulate, analyze, and then visualize complex datasets. Similarly, you will learn the basic process of data science in a step-by-step guide.

After that, the instructor will talk about Python and Jupyter notebooks in detail. In addition, you will gain a complete understanding of manipulating and analyzing uncurated datasets. Furthermore, the instructor will talk about basic statistical analysis and machine learning methods. Then, you will learn to visualize results effectively and much more. TakeThisCourse has a comprehensive Free Python Bootcamp that is worth checking.

save

Elements of Data Science (MicroBachelors Program)

      • Rice University via edX
      • 6 Months (6-8 hours weekly) of effort required
      • 35,813+ already enrolled!
      • 3 Courses included

This program contains three courses in it that will collectively help you understand all about the elements of data science. Through this program, you will be able to understand the basic objects of linear algebra. You will learn to computer them in a step-by-step guide. With that, you will also learn how they can fit together theoretically.

Similarly, you will also understand how they can be used for solving real problems. Going further, you will get a chance to understand all about data models and systems for processing signals, images, and big data sets. In addition, the program will help you develop the ability to navigate the data science process like an expert. So, understand all about the elements of data science, the world of signal processing, and much more through this program.

save

Data Science Methodology

      • IBM via Coursera
      • 10 hours of effort required
      • 128,654+ already enrolled!
      • ★★★★★ (15,441 Ratings)

Even though there is an increase in computing power and access to data for a decade now. Our ability to use data to make result-oriented decisions is either lost or inefficient. To solve this problem, we need to develop a solid understanding of the questions being asked and how to apply data correctly in the real world. In this Data Science Academy course, you will understand the methodology that we can use within data science to solve problems. The instructor will talk about how to use data to solve problems and manipulate the data more efficiently.

Similarly, you will understand the major steps involved in tackling a data science problem. With that, you will learn about the major steps involved in practicing data science. You will learn how to collect and analyze data and then build a model out of it. Similarly, you will also learn how data scientists think and much more in this course.

save

Spatial Data Science and Applications

      • Yonsei University via Coursera
      • 12 hours of effort required
      • 15,464+ already enrolled!
      • ★★★★☆ (361 Reviews)

In this Data Science Academy course, you will learn what spatial data science is and understand why spatial is special from three perspectives. These are business, technology, and data. The instructor will talk in detail about these three perspectives. Next, you will learn about the four disciplines related to spatial data science. These four perspectives are GIS, DBMA, data analytics, and big data systems. Similarly, you will also learn about the different related open source software which is QGIS, PostgreSQL, R, and PostGIS. After, the instructor will talk about the Hadoop tools in detail.

Going further, you will learn about the four disciplines one by one. From the principle to understanding all its applications, you’ll learn everything about it. Then finally, you will be given five real-world problems and their solutions to help you understand everything that you have learned.

save

Data Science (Harvard University)

      • Harvard University via edX
      • 1 year 5 months (2-3 hours weekly) of effort required
      • 9 Courses included

This data science program aims to help you understand the fundamental R programming skills. You will get to understand statistical concepts like probability, inference, and modeling in detail. With that, the Data Science Academy instructor will explain how to apply these models in real life.

Similarly, you will also gain experience with the tidyverse. It also includes instructions about data visualization with ggplot2 and data wrangling with dplyr. Furthermore, the instructor will help you become familiar with all the essential tools for practicing data scientists. These are Unix/Linux, git, and GitHub, and lastly RStudio. Checkout all Harvard University Free Online Courses here.

save

Statistics and Data Science

      • MIT via edX
      • 1 year 2 months (10-14 hours weekly) of effort required
      • 5 graduate-level courses included

Do you want to master the foundations of data science and become an expert in this field? With the help of this program, you will learn all about data science from the comfort of your home. The Data Science Academy instructor will talk about the foundations of statistics and machine learning as well. With that, you will learn to analyze big data and make data-driven predictions according to it. Similarly, you will learn to identify and deploy appropriate modeling and methodologies to extract useful information for decision-making. Furthermore, you will be taught to develop and build machine learning algorithms through unstructured data. Thus with this MicroMasters program, you will be able to get guidelines to become a data scientist, data analyst, business intelligence analyst, etc..

ADBig Data Modeling and Management Systems

      • University of California San Diego via Coursera
      • 13 hours of effort required
      • 77,195+ already enrolled!
      • ★★★★☆ (2,790 Reviews)

save

Analytics: Essential Tools and Methods

      • Georgia Tech via edX
      • 1 year (9-11 hours weekly) of effort required
      • 3 graduate-level courses included

This MicroMasters program in analytics aims to help you develop an understanding of the essential fundamentals of analytics. You will learn all about analytical tools like R, SQL, and Python. Through the Data Science Academy courses available in this program, you will understand the fundamental models and methods of analytics in detail. The instructor is going to talk about how and when you have to apply these methods of analytics.

Similarly, you will learn to build a data analysis pipeline in a step-by-step guide. From collection and storage through analysis and interactive visualization, you will learn all about it. Furthermore, you will learn to apply all these analytics skills that you have learned here in a business context. The instructor will help you understand how to maximize your impact by applying these skills.

save

Probability and Statistics in Data Science using Python

      • University of California San Deigo via edX
      • 10 weeks (10-12 hours weekly) of effort required
      • 110,715+ already enrolled!
      • Skill Level: Advanced

It is a data scientist’s job to glean knowledge from complex and noisy datasets. He must be able to use Python and other approaches to understand and gain insights from data. In this amazing course, you will get a chance to understand the foundations of probability and statistics. The instructor is going to talk about the mathematical theory in detail. Similarly, you will gain hands-on experience in applying this theory to actual data with the help of Jupyter notebooks. Upon completing this Data Science Academy course, you would have gained a complete understanding of the mathematical foundations for machine learning. With that, you will also be able to develop a complete understanding of different statistics and probabilistic approaches.

Checkout MOOC Options from Top Universities/Organizations in various domains

Programming Courses
100+ Courses
★★★★★

Cybersecurity courses
30+ Courses
★★★★★

Business Courses
70+ Courses
★★★★☆

Blockchain Courses
20+ Courses
★★★★★

Data Science Courses
150+ Courses
★★★★★

Mobile App Development Courses
50+ Courses
★★★★★

Final Thoughts:

As you can see, all these 10 data science academy free online courses with certificates can help you develop a good understanding of data science at your ease and pace. Each Data Science Academy course in this list has been handpicked by our team. And we assure you that whichever course you decide to enroll in would be helpful in learning something new. So, read the description of all these Data Science Academy courses now and then enroll in the one you think is suitable for you. And don’t forget to stay safe, stay home, and never stop learning.