Home » Employability Skills (Series): Part 3.2 Data Science (Analytics) and Courses

Employability Skills (Series): Part 3.2 Data Science (Analytics) and Courses

Employability Skills 3.2: Data Science (Analytics) and Courses

 “Data is the New Oil” in the words of Clive Humby, a UK Mathematician. Nandan Nilekani quoted the same during his address at the 54th convocation of IIT Madras by July 2017. A Report by McKinsey states that, Automation could kill 800 Million Jobs by 2030. A new field, Data Science has emerged as a super power to rule the Job market.

1

The Power of Data and technology are accelerating the disciplines (of Future) such as

  • Machine Learning (ML)
  • Deep learning (Hierarchical Learning)
  • Neural Networks
  • Natural Language Processing (NLP)
  • Artificial Intelligence (AI)
  • Internet of Things (IOT)
  • Industrial IOT 

2

Most commonly used Programming Languages are

  1. PYTHON
  2. R
  3. SAS

Recently Anna University, Chennai included Python language in the engineering curriculum from 2017 batch.

3

Most commonly used Business Intelligence softwares are

  1. Tableau
  2. Microsoft Power BI
  3. IBM Cognos Analytics
  4. Qlik View
  5. SAP BI
  6. SQL SAS etc.,

As per NASSCOM Report, there are 55 Job Roles in future

4

Like CEOs, corporates may have CDOs (Chief Data Officer) in future.

Job seekers and Employees needs to upgrade themselves to surf the job wave of this decade. Various online courses and resources support the growing need for data analysts. They are;

Data Science learning Websites

  1. Microsoft Virtual Academy (https://mva.microsoft.com/) – A very popular website provides hundreds of free IT training courses on all MS Products for Developers, IT Professionals and Data Scientists.
  2. IBM – Cognitive class (https://cognitiveclass.ai/ ) – Free Data Science and Cognitive Computing courses offered by IBM with hands-on exercises for you to learn Spark, Hadoop, Python, R, Scala, NoSQL, SQL, Data Visualization.
  3. Udemy (udemy.com) – This platform provides data analytic courses for as low as $10 (INR 640) with quality content by industry practitioners.
  4. Lynda (lynda.com) – A learning platform from LinkedIn, owns 6237 courses with a free trial period of one month.
  5. Jigsaw Academy (jigsawacademy.com) – An online school for analytics, consists of courses classified into Introductory, Foundation, Domain and Upcoming.
  6. Data Camp (datacamp.com) – This website is a one-stop solution for all data science aspirants. It consists of 94 Courses, 13 Skill tracks and 7 career tracks with 64 Instructors. Almost all introductory courses are free to learn with a certificate.
  7. Udacity (udacity.com) – Another website which associates with global partners like Google, Facebook, Kaggle, MODE, Tableau, Alteryx etc., for its courses and offers Foundation & Nano Degree programmes. There are a few introductory free courses available without a certificate. Recently Google has announced Scholarships for Indian students to pursue courses under Udacity and Plural sight. (Read: http://www.thehindubusinessline.com/info-tech/google-announces-130000-scholarships-in-collaboration-with-pluralsight-udacity/article9970949.ece
  8. Plural Sight (pluralsight.com) – This website offers 10 days trial period for its courses and offers Google scholarship. 
  9. Data Monkey (datamonkey.pro) – Courses on SQL and MS Excel. 
  10. Edx – (https://www.edx.org/course?search_query=data+science) – University Accredited & Industry Partnered courses in Data Science. 
  11. Coursera – (https://www.coursera.org/courses?query=data%20science) – Degrees, Professional Certificate Courses and Specializations in Data Science.

To be continued …

Employability Skills 3.3: Microsoft Excel and Google Certifications

Image Credit: Morganimation – Fotolia.com

Dr. Kamal PK

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