Importance of Data Science - The Ultimate Guide to Kickstarting your Data Science Journey

Introduction to the speaker

We've brought in Mirza Rahim Baig, Lead Analyst- Zalando,Germany . Rahim has around 11 years of experience with  the top companies like Flipkart, ZS Associates and IQVIA into  advanced analytics, machine learning, consulting in the e-commerce and healthcare domains. He worked across most aspects of the e-commerce world - pricing, marketing, catalog, reviews and ratings, notifications, and category buying and selling sides. He works closely with Product to solve business problems in supply chain.

Get insight on how and why should we choose Data Science as a profession and what are the skills required to excel in this field. He will answer all your questions by taking you through his journey and will help you move ahaed in this domain.

Let’s get started!

Pathway to Data Science

As you heard, how valuable data is for decision making and how data professioanls can make such a significant impact on business. It has a strong impact on shaping strategy, setting targets, enabling execution, performance measurement and more. 

In the next video let's hear from Rahim on what are the top skills needed to excel in Data Science domain and how Data Science can transform your career.

Much needed skills in Data Science

As you learnt, there are 2 types of skills:

1) Hard skills: 

• Accessing and manipulating data: You should be highly familiar with SQL and also      comfortable in data manipulation using Python/R
• Statistical foundations: It includes basics like probability, common distributions, hypothesis testing

2) Soft skills:

• Problem solving: It means to take a complex problem and breaking it down into smaller approachable problems and propose a practical solution for it
• Communication: This is such an important one but not given the right attention. Communication helps in working with clients/ business teams / product / engineering team

Future of Data Science 

So, the future of data science will be more systematic and mature in order to know how to better utilize their valuable data science professionals.

In the next segment our career counselor will help you clear all your doubts on why, where, how, and when to get into the Data Science domain.