How To Become A Data Scientist | Data Scientist Roadmap | Data Science | Intellipaat

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#HowToBecomeADataScientist #DataScientistRoadmap #DataScience #Intellipaat

In this video on How to become a data scientist, we'll explore the importance of data science and why you should go for a Data Science Career. We'll then present a detailed Data Science Roadmap designed to equip you with essential skills and get you ready for Data Science Interviews at leading companies. Finally, we've created a comprehensive, year-long, slow-paced study plan to guide your learning journey. Check out the Free Data Science Study Plan link above.

By the end of this video, you’ll get an idea of How to Become a Data Scientist, because this video will cover all the essential steps of the Data Scientist Roadmap.

🔵 Following topics are covered in this video on How to Become a Data Scientist:
00:00 - Introduction
01:09 - Why Data Science?
01:38 - Are There Enough Data Science Jobs Available?
02:53 - Data Science Salary
03:37 - Data Science Roadmap
03:50 - Learn Statistics For Data Science
05:27 - Learn Programming Language
06:20 - Practice Basic Python Libraries (Numpy, Pandas, Seaborn, Matplotlib)
07:07 - Master SQL and EDA
08:12 - Machine Learning Algorithms
09:41 - Build Projects

✅ How to Become a Data Scientist?
To be a data scientist, you typically need a strong background in mathematics, statistics, and computer science, proficiency in programming languages like Python or R, experience with data manipulation and analysis tools, and a good understanding of machine learning algorithms.

✅What are the essential skills in the Data Scientist roadmap for mastering machine learning and data visualization?
The Data Scientist roadmap typically includes proficiency in programming languages like Python or R, statistical analysis, machine learning techniques, data manipulation, and effective communication of findings through data visualization.

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Master Python, SQL, Machine Learning, Power BI, Generative AI & more
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☑️Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).

✅ Key Features - (Course Features)
👉🏼50+ Live sessions across 7 months
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👉🏼200 Hrs Project & Exercises
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➡️ What’s Covered in This Program? -
✅ Module 1 – Preparatory Session - Linux and Python
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✅ Module 3 – Python With Data Science
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✅ Module 5 – Machine Learning
✅ Module 6 – Supervised Learning
✅ Module 7 – Unsupervised Learning
✅ Module 8 – Deep Learning Using TensorFlow
✅ Module 9 – Data Science Capstone Project
✅ Module 10 - Business Case Studies
✅ Module 11 - Generative AI
Elective
✅ Module 12 – Power BI
✅ Module 13 – Deploying Machine Learning Models With Cloud
✅ Module 14 – Git
Job Readiness
✅ Module 15 – Data Analysis With MS Excel

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