How to get entry into data analytics industry?

Data analytics or Data Science is one of the sought after fields. We got a plenty of questions from people who want to shift from their respective fields to Data Sciences.

Before we start taking about – “How can you move into analytics”? Let’s first discuss – Are you really interested in it? or it is just rat-race?

If you want to join this field thinking that you might get a huge bump in your paycheck, let me tell you – You are going to get disappointed.

Whenever you switch your industries (without additional degrees), industry is going to treat you as a fresher – No matter how much experience you hold in your industry.┬áThis fact is true for any industry not only for Data Sciences.

  • If you are doing it out of passion or interest, keep following things in mind –
  • You will have to face lots of rejections
  • Your previous experience has very little or no value (if not in related industries)
  • Data Science is a gradual process – But you will have to have steep learning
  • You will come across multiple MOOCs, Text Books, Gurus – Beware
  • Don’t expect to do modeling or clustering from day 1

If you have decided to switch your industry, let’s talk about the FAQs

How should I start?

A data scientist has a combined knowledge of Statistics and any of the tools like R, Python, SAS etc. So, you have to start learning basics of Statistics as well as tools to perform analytics.

How should I learn Statistics?

We have observed that people are misguided towards Machine Learning, Deep Learning and High end stuff. But what people are not told is the foundation for the same. Our suggestion will be to go in the following order (Might not be most effective)

  • Basics of statistics – Mean, Median, Mode, Distributions etc.
  • Hypothesis Testing
  • Correlation
  • Linear Regression
  • Logistic Regression
  • Clustering
  • Machine Learning
  • Feature Engineering
  • Time Series Forecasting
  • Deep Learning
  • Optimization Techniques

I can run the models but not getting calls from any company, what’s wrong?

If you can type command lm(dependent~independent) in R, that doesn’t mean that you know modeling. You have to understand the basics like assumptions behind a technique, interpreting results, tuning your model etc.

You need not know everything under the horizon of Data Science, but whatever you know – Know it to a good extent.

Are Coursera, EDx or other certificates going to help?

Yes and No.

Earning certificates from MOOCs might show your interest towards Data Sciences but doesn’t guarantee that you really learnt something. But these are very good resources to learn – Enroll and learn honestly. If you are cheating or copying to earn certificates – It can back fire for obvious reasons!!!

Should I learn R or Python or SAS or all?

In our opinion, languages are just tools to execute. As a beginner your focus should be learning any language to the best possible level. Instead of touching all the languages touch any one and master it.

We don’t mean to demotivate you to learn – message is to touch next language when you have mastered one.

How Should I Practice?

There are a lot of data science problems floating around. You can start with Kaggle, AnalyticsVidya etc.

What are the best resources to learn?

It depends on your personality. Few people prefer Video courses while others prefer text tutorials. But to start you can follow-

  • For R – John Hopkins University’s R Programming Course, Data Camp
  • For Statistics –
  • For Pyhton – Python for everybody in Coursera,

All the best for your journey…

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