Deal: Learn Big Data and Hadoop Analytics Certification Course (92% Off)

The business world of today is powered by data science and analytics, which are facilitating the making of real-world and relevant business decisions at companies of all sizes and it’s the people who know how to make data-driven business decisions who are getting ahead.

You can become one of those people with The Big Data and Hadoop Analytics Certification Bundle which will enable you dive into the science and best business practices of working with mass amounts of data and real-time analytics.

Develop hard analytical skills with Hadoop, Python, and Excel to take your career to the next level with this course at 92% off on Tecmint Deals.

In this 3-courses 24/7 bundle, you’ll explore the basics of Big Data, including one of the most popular tools, Hadoop, and learn to perform data science and business analytics with Python.

You’ll interpret the processes that go into handling huge volumes of data in real-time analytics, learn Hadoop components such as HDFS and MapReduce, use Microsoft Excel to learn analytical concepts and hard skills.

Additionally, you’ll explore the various Python libraries and tools used in data analytics. You’ll write maintainable, scalable, robust code with Python allowing you to perform data mining, wrangling, website scraping, web app building, data engineering, and beyond.

What’s included in this Course

  1. Bid Data and HADOOP
  2. Business Analytics
  3. Data Science with Python

By the end of the 3 in-depth course, you’ll have a clear understanding of the economic implications of data and how best to work with it to make informed decisions. Importantly, you’ll be awarded a certificate of completion at the end of the three courses.

Take your career to the next level by learning hard analytical skills with Hadoop, Python, and Excel all in The Big Data and Hadoop Analytics Certification Bundle at $59 on Tecmint Deals.

Ravi Saive
I am an experienced GNU/Linux expert and a full-stack software developer with over a decade in the field of Linux and Open Source technologies

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