Data science talents are being used by businesses across industries to obtain a competitive advantage and make sense of the vast amounts of data available as resources. Data science is also becoming a lucrative career option for individuals who wish to enter the digital business as a result of the growing industry need. If you’re a complete newbie who wants to pursue this path, there are various online courses (both free and paid) that will teach you the fundamentals and abilities you’ll need to succeed. Here are some recommended intermediate-level courses free of cost in the area of data science.
Principles, Statistical and Computational Tools for Reproducible Data Science
This online course from Harvard University will offer you skills and tools that will help you with data science and reproducible research. If you have trouble visualizing your findings, this course will teach you how to do rigorous research, repeat it, and effectively convey it to your colleagues. This course lasts eight weeks and you can take it for free till September 15, 2021.
Big Data Analytics using Spark
This online course is part of UC San Diego’s MicroMasters program. This course will explain how to look for bottlenecks in enormous parallel computation and how to utilize Spark to eliminate these bottlenecks, which is essential for analyzing big data sets that need the usage of distributed file systems like Hadoop and Spark. Also, you will obtain practical expertise utilizing PySpark within the Jupyter notebook environment.
Data Analysis: Statistical Modeling and Computation in Applications
This course, offered by MITx, will begin with a review of common statistical and computational techniques like hypothesis testing, regression, and gradient descent methods. You will learn standard models and methods for analyzing certain types of data in four domain areas, Epigenetic Codes and Data Visualization, Environmental Data and Spatial Statistics, Criminal Networks and Network Analysis, and Prices, Economics, and Time Series.
Machine Learning with Python: from Linear Models to Deep Learning
You’ll learn about the principles and techniques for translating training data into effective automated predictions in this another MITx course. The course will cover topics such as representation, overfitting, regularisation, generalization, VC dimension, clustering, classification, reinforcement learning, online methods, and so on.
Data Analytics for Business
This course, presented by Georgia Tech University, prepares students to understand business analytics and become leaders in these areas in businesses by employing scientific techniques to translate data into insights for better business decisions. This course will teach you how to apply business analytics in a variety of ways, including approaches, concerns, and obstacles.
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