Top 10 online big data analytics courses in 2018

Data analytics skill has become one of the most important factors in one’s career development today as data has become more explosive than ever. According to PWC (Price Waterhouse Coopers), over 50 million jobs created in “analytics skills” from 2015 to 2018.

This article will recommend 10 best online courses on different MOOC for beginners to learn data science fundamentals, key data science tools, and widely-used programming languages in big data analytics.


1. Data Analysis and Presentation Skills: the PwC Approach Specialization

Creator: Price Waterhouse Coopers LLP

Commitment: 21weeks, 3-4hours/week

This specialization includes 5 courses, from data-driven decision making, problem-solving with basic functions of Excel, data visualization with advanced excel, to the business presentation with PowerPoint, and a final project.

With an average rating of 4.6, this data analysis specialization is designed for employees by PWC, which undoubtedly focuses more on business application than theory. And it’s suitable for people without a programming background.

2. Data Science Specialization

Creator: John Hopkins University

Commitment: 43 weeks, 4-9 hours/week

Composed of 10 courses, this specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results.

Rating 4.6, this is one of the longest data science specializations on Coursera. Unlike the PWC one, it focuses more on theories relating to statistic, algorithm and data analysis. Besides, it practices mainly by R programming, so a basic knowledge of programming is recommended before taking this specialization.

3. Big Data Specialization

Creator: University of California, San Diego

Commitment: 30 weeks, 3-6 hours/week

With a total 6 courses, it covers the main aspects of big data, from the basic introduction, modeling, management systems, integration, and processing, to machine learning and graph analytics.

Average rating is 4.3. This is a great introduction to big data for beginner and doesn’t delve too much into programming., no prior programming experience is needed. As it involves several open-source software tools, including Apache Hadoop, it has requirements on hardware and software.

4. Statistics with R

Creator: Duke University

Commitment: 27 weeks, 5-7 hours/week

With the 5 courses in this specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling.

Average Rating of 4.5, the course is all about R programming, which is a free software environment for statistical computing and graphics.


5. Microsoft Professional Program in Data Science

Creator: Microsoft

Commitment: 56-58 weeks, 2-4 hours/week

Made up of 3 units (9 courses total) and a Final Project, this specialization covers the basic introduction of data science, essential programming languages and advanced programming languages in applied data science.

Unsurprisingly, it has a high connection with Microsoft software, including Excel, Power BI, Azure and R server. The programming languages involved are R and Python. If above-mentioned software utilities are your daily utilities, then you should not miss it.

6. Marketing Analytics

Creator: University of California, Berkeley

Commitment: 16 weeks, 5-7 hours per week.

The program is designed and taught by industry expert Stephan Sorger, who has held leadership roles in marketing and product development at companies such as Oracle, 3Com, and NASA.

This program is divided into 4 courses, including Marketing Measurement Strategy, Price and Promotion Analytics, Competitive Analysis and Market Segmentation, and the last one, Products, Distribution and Sales.

Cognitive Class

7. Big Data Fundamentals

Creator: IBM

Commitment: 13 hours

It only consists of 3 courses, which give a brief introduction on Big Data, Hadoop and Spark. Known as Big Data University before, Cognitive Class is a MOOC provided by IBM.

MIT Open Courseware

8. Advanced Data Structures

Instructor: Prof. Erik Demaine

Commitment: 22 sessions, 90mins/session

This course serves as a broad overview of the many different types of data structures, including geometric data structures, like a map, and temporal data structures, as in storage that happens over a time series. It covers the major directions of research for a wide variety of such data structures.


9. Python

Instructors: Austin Bingham, Robert Smallshire, Terry Toy, Bo Milanovich, Emily Bache, Reindert-Jan Ekker

Commitment: 7 courses, 28 hours totally

This path will take you from the basics of the Python language all the way up to working with web frameworks and programming.

Python is an interpreted object-oriented programming language. It is open source, so the interpreter and source are freely available and distributable in binary form, which contributes Python become a popular programming language in data analysis.


10. Java Tutorial for Complete Beginners

Instructor: John Purcell

Commitment: 75 lectures, 16 hours totally

A beginner course to learn the Java programming language, no prior programming knowledge required. The key reason for this course: Hadoop is Java-based, which is one of the hottest open-source software utilities that paves the ground for analyzing big data.

This article originally appeared here. Republished with permission. Submit your copyright complaints here.

  1. Rajshekhar 1 year ago

    Thank you. Planning post retirement life in big data

  2. I’m not sure why but this weblog is loading extremely slow for
    me. Is anyone else having this problem or is it a issue on my end?

    I’ll check back later and see if the problem still exists.

  3. minecraft for free 9 months ago

    Hi there to all, it’s truly a pleasant for me to pay
    a quick visit this site, it includes precious Information.

  4. gamefly free trial 9 months ago

    Everything is very open with a clear clarification of the issues.
    It was truly informative. Your site is extremely helpful.
    Thank you for sharing!

  5. quest bars cheap 6 months ago

    Admiring the persistence you put into your site and detailed information you
    provide. It’s great to come across a blog every
    once in a while that isn’t the same unwanted rehashed material.

    Fantastic read! I’ve saved your site and I’m adding your RSS
    feeds to my Google account.

  6. coconut oil 3 months ago

    In fact when someone doesn’t be aware of then its up to other users that
    they will help, so here it occurs.

  7. mpjftsejze 2 months ago


  8. Techgeest 2 months ago

    Thanks for sharing the information….keep sharing more articles
    data science courses in bangalore

  9. Techgeest 2 months ago

    Thank You so much for sharing this information. I found it very helpful
    Best Azure training in Bangalore

  10. Techgeest 2 months ago

    Thank you for the valuable information, its was very helpful
    Best Kubernetes training in Bangalore

  11. Techgeest 2 months ago

    This article is really helpful.
    Best Spark training in Bangalore

  12. Techgeest 2 months ago

    Thanks for sharing a wonderful articals
    Best R Programming training in Bangalore

Leave a Comment

Your email address will not be published.

You may also like

Pin It on Pinterest