[FREE LIVE WEBINAR] How To Start Your Career in Data Science- What are The Next Steps?
Training TypeLive Training
CategoryData & Analytics
About the Course
Join this FREE webinar if you are anyone from below:
You are a beginner or a fresher who is aspiring to make a dream career in the field of Data Science.
You want to learn what you need to do to get a job as a data scientist.
You have no prior experience and want to get started with Data Science.
You are not sure if you have the right skillset to make it big in the field of Data Science.
You want to know top mistakes to avoid and gain edge on your competition.
You are looking to gain the knowledge to choose best career path for you.
You will also understand how come there is a shortage of Data Scientists in companies when everybody, even a non-technical person, is trying to become a data scientist today.
Join the Free Webinar To get expert insights on what can make you a better data scientist than other applicants?
How Is Data Science Shaping The Future?
How to Know if Data Science is Right Field for You?
Top 3 Data Science Careers Options for You.
How to Make It in The Data Science Field?
Key Mistakes You Should Avoid.
What Key Skills You Need to Focus On?
What Type of Background Can Give You An Edge?
How to Overcome Gaps in Your Experience & Resume?
Job Market & Career Outlook …and more!
Who is the Target Audience?
Freshers or beginners who wants to make career in Data Science
No pre-requisites. Just passion to learn
can learn and interact with a live instructor
What are top 3 Myths you come across related to Data Science?
How does a typical day of professionals in Data Science look like?
Key Skills Professionals should focus on building (Must haves and Recommended/Good to have)
What is the prerequisite to get into Data Science OR Can anybody become a data scientist?
To learn data science is it necessary to be computer engineer or other background students can also learn?
What major would be suitable to have a strong data science career?
How to Become a Data Scientist: What are the typical paths you see people follow to become a Data Scientist?