Top 5 Data Science Courses Online 2022

When internet exploitation was not that much developed, the data sources were limited. And data was quickly manageable without the intervention of machines and software. However, in the last decade internet has exploited the majority of the corners around the world; and due to this, nowadays, data is available in abundance. Though this is a good thing, due to the availability of enormous data sources, analyzing information is getting more and more complex. Now, here comes data scientists, professionals in analyzing large chunks of data sources to conclude solving problems. But which course should you register yourself in? To solve this problem, today, we’re going to list out Top 5 Data Science Courses you can enroll online in the year 2022.

 

Also, data science is on the list of the top ten best jobs in the 21st century; so if you’re planning to learn data science. Enrolling in an online course is going to make the learning experience easier and hassle-free.

 

Top 5 Data Science Courses Online 2022

 

1. Machine Learning, Data Science, and Deep Learning with Python

Machine Learning, Data Science and Deep Learning with Python

If the above-listed courses don’t excite you that much, then you must try enrolling yourself in the data science course offered by udemy. Apart from learning data science, you will also get hands-on experience with machine learning and deep learning using python.

Curriculum-wise, this is an intermediate-level course. So unless you don’t have prior exposure to data science, we don’t recommend you take this course. You get to learn artificial neural networks, K-means clustering, and many other advanced concepts of machine learning and data science.

The Course Content Contains :

 

  • Neural Networks and Deep Learning with Keras and TensorFlow
  • Transfer Learning
  • Image classification and recognition
  • Sentiment analysis
  • Multi-Level Models
  • Regression analysis
  • Multiple Regression
  • Random Forests and Decision Trees
  • A/B Tests and Experimental Design
  • Collaborative Filtering
  • Reinforcement Learning
  • Support Vector Machines
  • Feature Engineering
  • Hyperparameter Tuning, and more.

Duration: 14 Hours

Click Here To Enroll in Machine Learning, Data Science, and Deep Learning with an additional discount.

 

2. Data Science Specialization Course FREE

Data Science Specialization

This course will introduce all the tools you’ll need in the data science journey to you in this specialization course. Whatever you learn in this specialization course by Coursera is taught using real-world data sources.

 

Also, at the end of this course, you get to build a capstone project using all the skills you’ve learned so far. This course teaches students how to find real-world solutions using data science and machine learning.

The Course Content Contains :

 

  • Github
  • R Programming
  • Machine Learning
  • Data Science
  • Regression Analysis
  • Rstudio
  • Debugging
  • Data Analysis
  • Cluster Analysis
  • Regular Expression
  • Data Manipulation
  • Data Cleansing

Duration: 11 months.

 

Click Here To Enroll in Data Science Specialization Course with an additional discount.

 

3. MicroMasters Program in Statistics and Data Science

Learning data science also means you’ll be learning mathematics alongside. So, this course is going to help you cover both aspects of learning data science. You are going to learn the foundations of machine learning & Statistics. If you aim to specialize in big data analytics, this course will benefit you a lot.

 

Alongside learning data science, this course will also help you make data-driven decisions and predictions via statistical interference and a probabilistic modeling approach. Concepts of probability, data analysis techniques are introduced in this course as well.

 

The Course Content Contains :

 

  • Probabilistic Models Introduction
  • Data Analysis In Social Science
  • Statistics Fundamentals
  • Machine Learning With Python
  • Big Data Analysis
  • Deep Neural Networks
  • Clustering Methodologies

 

Duration: 14 months.

 

Click Here To Enroll in the MicroMasters Program In Statistics and Data Science with an additional discount.

 

 

4. Data Science: Machine Learning

Data Science: Machine Learning

Offered by Harvard University, this data science course is exclusively designed for beginners. So if you have just started, taking this data science course will help you quickly understand the fundamental concepts of machine learning. Instead of covering advanced topics, this course covers all the essential issues to a deeper level. When taking this course, you will also learn to use data more efficiently.

 

The Course Content Contains :

 

  • Machine Learning Basics
  • Principal Component Analysis
  • Machine Learning Algorithms
  • Building Recommendation System
  • Regularization and its uses
  • Cross-Validation

Duration: 15 Hours

Click Here To Enroll in Data Science: Machine Learning.

 

5. HarvardX’s Data Science Professional Certificate

Professional Certificate in Data Science

Whenever learning data science, it’s always important to look at things from a real-world perspective. With the help of HarvardX’s data science professional certificate, you’ll learn to analyze data from a more dynamic stance. Different essential components of data science are taught in this professional certificate. With the help of business-related case studies, you will learn how to use data professionally.

 

The Course Content Contains :

 

  • Data Science Basics
  • Data Science Visualization and Probability
  • Inference and Modeling
  • Productivity Tools
  • Wrangling
  • Linear Regression
  • Machine Learning
  • Capstone

Duration: 204 Hours

 

Click Here To Enroll in HarvardX’s Data Science Professional Certificate with an additional discount.

Also Read: How To Become a Certified Java Developer Professional in 2022

Ethix

I'm a coding geek interested in cyberspace who loves to write and read

Leave a Reply

Your email address will not be published. Required fields are marked *