Big Data Analytics Free Materials

  • What is Big Data Analytics ?


Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.


Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volumevariety, and velocity. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

  • Why Data Analytics ?


Data analytics is important because it helps businesses optimize their performances. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better—products and services.






Data is everywhere. The amount of digital data that exists is growing at a rapid rate, doubling every two years, and changing the way we live. An article by Forbes states that data is growing faster than ever before. By the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet, which makes it extremely important to know the basics of the field at least. After all, here is where our future lies.

  • How to prepare for Big Data Analytics?


  • Programming Skills:


Programming skills are mandatory to start with Big Data. You need to learn the following programming languages.

  • Learn Python
  • Learn Java

Get a hold on:

  • Data Structure & Algorithms:
  • Analytical Skills:
  • Database Skills:
  • Mathematics:


  • Important Materials



Sentdex  –  sentdex’s Youtube channel

3Blue1Brown – Grant Sanderson – 3Blue1Brown –

  • Important Tips


  1. Develop coding skills


If you don’t have the coding skills, you need a lot of networking power and other areas to beef up this deficit.


  1. Brush up your mathematical ability


  Strong math skills. Having very good understanding of a few of the commonly used methods: 


  1. Find a mentor

When you start studying, go with a project in mind. Then find a mentor in the field and start a passion project right away. 

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