Top 4 Inexpensive Data Science Courses | Learn Data Science within your limited budget
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Data scientist is considered as one of the sexiest jobs today.
And without a doubt, the demand is increasing every day.
From Zomato to Tinder, Twitter to LinkedIn, data science is everywhere.
It seems that there is an opportunity for data science in every industry imaginable.
Although a master’s degree can cost much, there are tonnes of affordable data science courses online that can help to kickstart a career in data science.
So, without further delay, let’s see which are the top 4 data science online courses which are not expensive at all but are awesome when it comes to skill enriching.
Number 1
The Data Science Course 2020: Complete Data Science Bootcamp (Udemy)
This 10-course bundle comprises 68 hours of training in big data and machine learning solutions from some of the top instructors on the Internet.
At first, students will learn how to search and analyze data, how to harness and organize massive sets of unstructured data using tools like Hadoop, MapReduce, and Apache Spark.
After mastering those, one shall learn how to apply machine learning tech to understand the data and draw quicker, better insights from it.
Students will get to work with tools like Keras, Python, and Tensorflow and understand how to power machine learning and artificial intelligence.
Number 2
Data Science Crash Course, John Hopkins University (Coursera)
Designed to give a simple overview of what data science is, how it works, and what it can be used to do.
This course offers an introduction to the technical side of data science but is mainly aimed at understanding the big picture for those who need to manage data scientists or data science work.
It’s a relatively short course as it consists of one module that can be finished in a week.
It can serve as an excellent introduction for those who want to learn the terminology and understand how to build a data science strategy, without necessarily needing detailed instructions on using the technical tools involved.
Number 3
Introduction to Data Science (Revised) – Alison
A completely free course that breaks down the core topics of the data science process and an introduction to machine learning into three modules, each designed to take around three hours to complete, and concluding with an assessment.
Once you’ve worked through that, you can choose from several other similarly bite-sized tutorials covering data programming languages, visualization tools, and techniques such as building clustering and regression models
Number 4
IBM Data Science Professional Certificate
This program consists of 9 courses providing you with the latest job-ready skills and techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.
You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.
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