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Big Data Analytics Tutorial Materials (Syllabus)

Blog: GestiSoft

Big Data Analytic Training Materials : People are not the same. Some need a hand to support, but others love to do everything by their own. So, you may think that big data analysis can be self- taught.

If you are such a person, this post is going to help you a lot. Today, I will be sharing some effective training materials for big data analysis.

I recommend learning big data from an expert. Why because big data can’t be learned easily by a fresh mind.

Big Data Analytic Training Materials

I am providing information on two types of resources here. Online and offline. Online resources include portable document format files while offline materials include hard cover books.

Online Big Data Analytic Training Materials

#1. Big data Tutorial by Marko Grobelnik

The best big data e- book you can ever get. That is Big data tutorial by Marko Grobelnik.

The content is classified into five parts such as Introduction, techniques, tools, applications and literature. The e- book was written in such a way to pour information even to a non- native English user.

They have taken great efforts to include graphics, so as to make it looks interesting.

This is an ultimate resource to have an idea about big data. But still I prefer learning everything from an experienced data analyst.

You can’t learn swimming only by reading about it in a textbook. Similarly, big data needs to be learnt in practical.

So, this e- book can act as a reference for your studies.

I am pretty sure that Big Data Tutorial by Marko Grobenik is more than sufficient to give you some brief but deep insights about the vast data science.

The author focused on explaining everything by the ample usage of Graphics and diagrams, that too in a sensible manner.

I hope you will have a look at this before joining any big data courses. If you do so, it will help you to set the basics right.

Click here to download the PDF version of Big Data Tutorial by Marko Groblnik.

#2. Free Course Materials: Harvard CS109 Data Science

Harvard is one of the alluring universities every student want to study in. As we all know, they provide online training too. There are many courses to which you can join for free.

They give the study materials and resources for CS109 Data Science course for free. CS109 is a fantastic introductory course to data science. It is taken by two Harvard professors, named Joe Blitstein (statistics) and Hanspeter Pfister (computer science).

  • Data mugging, cleaning, and sampling
  • Communication of results through stories, visualization, and summaries
  • Exploratory data analysis to generate hypotheses and intuition
  • Data management to be able to access big data quickly and reliably
  • Prediction based on statistical methods such as classification and regression

This awesome course is based on python. In the list of files that was made available to all via online, you can find many assignments and projects, thereby reducing the inability to offer practical sessions in an online study material.

There are many files and a folder too. So downloading the same one by one is not the suitable option. That’s why they have made a button to download every item in a zip file.

Ipython notebooks can be downloaded by visiting this page

Offline Big Data Analytic Training Materials

Here, I am sharing the details of some hard books that you can download from any online or offline store.

#1. Big Data: A Revolution That Will Transform How We Live, Work and Think

I found this book, having more rating on Amazon India. Big data is getting good exposure among job seekers. Everyone is getting to know that data science can be made a profitable profession. That’s why people started joining data analytics courses irrespective of the fees.

If you are a beginner, you should buy this book. You can’t find much technicality here. That’s why I recommend this to beginners.

The ideology of this book is to make aware everyone the process and purpose of data science. So, don’t buy this book if you are good at the basics of data science. Instead, you can buy this second book. It will reap you more benefits.

#2. Big Data with R and Hadoop

Didn’t you search about data science? I am sure that you did. Obviously, you might have read about Hadoop and R.

This is a tutorial style book in which you will be taught to build data analytic engines in uncomplicated step by step processes. A basic knowledge of R would be helpful for you when referring this text.

Mostly, Big Data with R and Hadoop talks about how we can integrate both (R and Hadoop).

In modern world, we have to handle tons of data without even comprehending it. In such a scenario, an automatic process is needed. That’s what you will learn from this book.

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