How to Become a Data Scientist [2020] | Data Scientist Skills | Data Scientist Career | Simplilearn

This video on How to Become a Data Scientist will help you understand what is Data Science, who is a Data Scientist, 7 skills that are primarily required to become a Data Scientist, and the job roles that are available in the Data Science industry. Now, let us understand how you can build your career in Data Science.

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This "How to become Data Scientist" video will answer the following questions:
Start (0:00)
1. What is data science? /Who is a Data Scientist? ( 00:22 )
2. What are the skills required to become a Data Scientist? ( 02:00 )
3. Job roles in the Data Science industry. ( 04:09 )

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📚How to Become a Data Scientist Article: https://bit.ly/3gffAni

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://www.simplilearn.com/data-science-career-guide-pdf?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube

You can also go through the slides here: https://goo.gl/v8uyHi

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data Scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked Data Scientist first in the 25 Best Jobs for 2016, and good Data Scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.

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1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package

The Data Science with Python is recommended for:
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5. Experienced professionals who would like to harness data science in their fields

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