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About Analytics Shiksha

Analytics Shiksha is a venture by data science experts aiming to teach the art of problem solving. With only 30 slots available, we provide individual attention to each of our students. Our team comprises of experienced data analysts and scientists who have worked with some of the biggest names in the industry. Our mission is to help aspiring data enthusiasts learn valuable skills and make a successful career in the field of analytics. Contact us: info@analyticsshiksha.com

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About Analytics Shiksha

Analytics Shiksha is a venture by data science experts, aimed at providing quality education and training in analytics and problem-solving. Our blog is a platform to share knowledge and insights with our community.
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Introducing SUPER30 Data Science program by ANALYTICS SHIKSHA: A venture by Data Science experts,. who have been in the industry for more than 10+ years and have been teaching Data Science for the last 5+ years. In this program, we have condensed our knowledge and skills into a 6-month curriculum with a dedicated emphasis on honing THE ART OF PROBLEM-SOLVING.

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🔵 How this program is different from others?

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All the programs are only focusing on math, coding, and stats but no one is teaching you THE ART OF PROBLEM SOLVING. Even ChatGPT can write a code can do the stats but what makes a Data Scientist different from a bot is THE ART OF PROBLEM SOLVING and this is how you will have an edge over any other candidate who will be competing for the same role.

The great news is that to make it AFFORDABLE for everyone - we're offering the lowest fees in the industry. But here's the catch: we will be selecting ONLY 30 STUDENTS irrespective of any educational background. We're looking for dedicated students who we can fully support with our time and guidance to make them top 1% in the industry

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🔎 Why SUPER30?

✅ Learn THE ART OF PROBLEM SOLVING
✅ Daily Live Doubt Solving Sessions 
✅ Featuring ChatGPT Module
✅ 10+ Real World Industry Projects
✅ 30+ graded assignments
✅ 1:1 mock Interview Preparation 
✅ 100% Job Assistance
✅ Company Tie-up Interview
✅ Large network of HR's

🟢 How to apply?

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Step 1 - Click the 'Learn More' button! 


Step 2 - Fill in your details and take our quick and entirely FREE 10-minute ELIGIBILITY TEST. 
This test will help us to evaluate whether you are the right fit for #SUPER30. 

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🚀 Hurry up! Click the button to CHECK YOUR ELIGIBILITY  NOW and secure your seat in the SUPER30 journey.
In the big world of Data Science, learning math, coding and stats is just the beginning. The real key to success is the crucial skill of problem-solving, Without mastering this, breaking into the Data Science industry is really really tough.

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🚀 Why Problem-Solving Matters:

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🔴 Decision-Making Skills


In a data-driven landscape, decisions are only as good as the problems they solve. Sharpening your problem-solving skills equips you to make informed, strategic decisions that impact businesses positively.

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🔴 Adaptability
Data Science is dynamic. new challenges arise, and the ability to adapt and solve problems on the fly is what sets exceptional Data Scientists apart from the rest.

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🔴 Creativity in Analysis
Beyond numbers and code, Data Science involves interpreting results creatively. Problem-solving enables you to see patterns, outliers, and opportunities that 
others might miss.

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🚀 How We Can Help You?

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ANALYTICS SHIKSHA is a venture by Data Science experts who are in the industry for more than 10+ years and have been teaching Data Science for the last 5+ years. In this program, we have condensed our knowledge and skills into a 6-month curriculum with a dedicated emphasis on honing THE ART OF PROBLEM-SOLVING SOLVING

Introducing the most AFFORDABLE SUPER30 Data Science program where we're offering the lowest fees in the industry. But here's the catch: we will be selecting ONLY 30 STUDENTS irrespective of any educational background. We're looking for dedicated students who we can fully support with our time and guidance to make them top 1% in the industry

© 2021 Analytics Shiksha. All rights reserved.

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