Data SCIENCE COURSE THAT DOES NOT START WITH THEORY
Download your 6 Step Guide to Launch your Data Science Career by starting to Solve Problems and apply Critical Thinking
Starting with the theory of tools and programming can take you a long time to land a dream job in Data Science. Instead focus on what problems the industry solves and focus on mastering them.
Pick your guide to accelerate your Job Search Process
Spending too much time learning Data Science theory?
Spending too much time on job search?
Procuring a job in Data Science has little to do with the tools and techniques, and more to do with Confidence, your Problem Solving and Critical Thinking approach and most importantly your communication skills. Here are the skills that will help you master Data Science the Non-Linear Way.
Cohort Based Learning to build Collaboration
Work with your cohorts to solve problems just like you would do during your job. Working in teams accelerates learning. Learn to lead and help others grow.
Business Context, Presentation & Story Telling
After all the great technical work you have done, your ability to present the outcomes through data and storytelling will define the success of your project.
Problem Solving &
Critical Thinking
If you have clarity on your problem-solving approach and you have thought of solutions in diverse ways, then it's going to be easy for you to deploy your solution.
Projects, Data Science Profile & Job Search
Projects are proof of work that improves your credibility. By displaying your Projects through GitHub, Kaggle you demonstrate proactiveness and trust that differentiates you from other applicants.
“
The Future belongs to those who learn more skills and combine them in creative ways
Robert Greene
American Author of books on Strategy, Power, and Seduction
Learning requires Energy & Clarity
The 6 Step Data Launchpad provides a clear path to sustain your Data Science Journey and procure a Job in Data Science through Non-linear methods of learning. Download your copy today and accelerate your mastery on Solving Problems with Data.
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