DE vs DA vs DS: Which Career Path Is Your Best Fit?

Do you have a vested interest in data? If you’re considering a future in data but are torn between taking up a role in data engineering, data analysis or data science, this webinar has you covered.

Join us as we explore the prospects of data and further explore these specialized roles, giving you insights into current trends and future outlooks. Learn about the various roles involved and the skills needed. Learn about their differences and determine which role best suits your future in the industry.

Who is this webinar for?

• Professionals looking to kickstart their careers in big data.
• Tech professionals desiring to learn about data engineering, data analysis and data science.
• Professionals wishing to explore opportunities in the industry.

What Will You Learn in This Masterclass?

• Gain insider knowledge from an industry expert on the latest trends.
• Learn about the differences between data engineering, data analysis and data science.
• Receive personalized advice on navigating your career in the industry.
• Connect with like-minded professionals and expand your network.
• Get an exclusive sneak peek into the Data Analyst Masters Program from Simplilearn.

Industry Expertise

Join Amitendra Srivastava for a live Q&A session to better understand the industry and how our program can benefit your career. He is a Chief Data Scientist at Intelytica & AI & ML Expert.

BONUS PREVIEW

Upon attending this session, you will also get an inside preview of the Data Analyst Masters Program from Simplilearn.

Course Features: 

• Earn a recognized Data Analyst certification to boost your career
• Learn SQL, R, Python, data visualization, and predictive analytics skills
• Get hands-on experience with the latest tools and work on real-world projects
• Earn IBM certificates and benefit from Masterclasses by IBM experts

Skills in Focus

You’ll find out about the different industry-standard skills:

• Data Analytics
• Statistical Analysis using Excel
• Data Analysis using Python and R
• Data Visualization Tableau and Power BI
• Linear and logistic regression modules
• Clustering using KMeans

And more…

Applied Learning Module

Get an inside look into the program’s learning management system, providing you with:

• Access to the courses, live classes, labs, and videos
• Virtual workbenches to perfect your skills via live labs and projects
• Shortcuts for navigating the program curriculum 
• 24/7 learning support and access to learner & faculty forums