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So you’ve made up your mind. You want to become a data scientist. Great choice! But where should you begin? There are far too many resources out there without any structure – and that is a never-ending cycle. How do you decide the starting point? When should you switch to a different topic? Did you miss out on anything?
And what should you study? Just learning machine learning algorithms isn't enough. It's a combination of data engineering and machine learning, among other things. It's a lot to digest.
Don’t worry, we have you covered! We are excited to unveil the perfect opportunity for all aspiring data scientists – a webinar on how to become a data scientist in just 180 days! This webinar will provide a structured learning path so you can keep your focus on the things that matter in your data science journey and eliminate distractions.
This is a webinar you do not want to miss. Enroll today and give yourself the gift of structured focus in your data science career!
Kunal Jain
Founder & CEO, Analytics Vidhya
Kunal is the Founder of Analytics Vidhya. Analytics Vidhya is one of the largest Data Science communities across the globe. Kunal is a data science evangelist and has a passion for teaching practical machine learning and data science. Before starting Analytics Vidhya, Kunal had worked in Analytics and Data Science for more than 12 years across various geographies and companies like Capital One and Aviva Life Insurance. He has worked with several clients and helped them build their data science capabilities from scratch.
Kaushik Roy Chowdhary
Senior Data Scientist, Analytics Vidhya
Kaushik is a data science professional and trainer with more than 7 years of experience in the domain of data-driven consulting and around 3 years of experience disseminating the knowledge through teaching and training.
Pranav Dar
Senior Content Strategist & Data Scientist, Analytics Vidhya
Pranav is a Data Scientist and Senior Content Strategist for Analytics Vidhya. He has experience in data visualization and data science. Pranav has previously worked for a number of years in the learning and development field for a globally-known MNC.
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