Data Scientist Job, Career & Salary | Data Scientist Salary | Data Science | Edureka Rewind - 2

๐Ÿ”ฅ๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐ƒ๐š๐ญ๐š ๐’๐œ๐ข๐ž๐ง๐œ๐ž ๐ฐ๐ข๐ญ๐ก ๐๐ฒ๐ญ๐ก๐จ๐ง ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž : (๐”๐ฌ๐ž ๐‚๐จ๐๐ž: ๐˜๐Ž๐”๐“๐”๐๐„๐Ÿ๐ŸŽ) This Edureka โ€œData Science Jobs, Careers and Salariesโ€œ video talks all things career in the Data Science. It explains why Data Science is the best career move, right now. Learn about various job roles, salary trends and learning paths in Data Science. Below are the topics covered in this module: 0:00 Introduction 1:01 Overview 1:37 Market Trends and Projections 2:26 Salary Trends by Functional Area 2:57 Salary Trends by Experience 3:34 Companies Hiring 4:14 Who can take up Data Science? 7:50 Roles Available for Data Science Professionals 9:49 Skills Required 12:54 Data Science Training @ Edureka ๐Ÿ“Feel free to comment your doubts in the comment section below, and we will be happy to answer๐Ÿ“ -------๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐Ž๐ง๐ฅ๐ข๐ง๐ž ๐“๐ซ๐š๐ข๐ง๐ข๐ง๐  ๐š๐ง๐ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง--------- ๐Ÿ”ต DevOps Online Training: ๐ŸŒ• AWS Online Training: ๐Ÿ”ต Azure DevOps Online Training: ๐ŸŒ• Tableau Online Training: ๐Ÿ”ต Power BI Online Training: ๐ŸŒ• Selenium Online Training: ๐Ÿ”ต PMP Online Training: ๐ŸŒ• Salesforce Online Training: ๐Ÿ”ต Cybersecurity Online Training: ๐ŸŒ• Java Online Training: ๐Ÿ”ต Big Data Online Training: ๐ŸŒ• RPA Online Training: ๐Ÿ”ต Python Online Training: ๐ŸŒ• Azure Online Training: ๐Ÿ”ต GCP Online Training: ๐ŸŒ• Microservices Online Training: ๐Ÿ”ต Data Science Online Training: ---------๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐‘๐จ๐ฅ๐ž-๐๐š๐ฌ๐ž๐ ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ--------- ๐Ÿ”ต DevOps Engineer Masters Program: ๐ŸŒ• Cloud Architect Masters Program: ๐Ÿ”ต Data Scientist Masters Program: ๐ŸŒ• Big Data Architect Masters Program: ๐Ÿ”ต Machine Learning Engineer Masters Program: ๐ŸŒ• Business Intelligence Masters Program: ๐Ÿ”ต Python Developer Masters Program: ๐ŸŒ• RPA Developer Masters Program: ๐Ÿ”ต Web Development Masters Program: ๐ŸŒ• Computer Science Bootcamp Program : ๐Ÿ”ต Cyber Security Masters Program: ๐ŸŒ• Full Stack Developer Masters Program : ๐Ÿ”ต Automation Testing Engineer Masters Program : ๐ŸŒ• Python Developer Masters Program : ๐Ÿ”ต Azure Cloud Engineer Masters Program: --------๐„๐๐ฎ๐ซ๐ž๐ค๐š ๐๐—ผ๐˜€๐˜ ๐—š๐—ฟ๐—ฎ๐—ฑ๐˜‚๐—ฎ๐˜๐—ฒ ๐‚๐จ๐ฎ๐ซ๐ฌ๐ž๐ฌ-------- ๐Ÿ”ต Artificial and Machine Learning PGD with E & ICT Academy NIT Warangal: ๐ŸŒ• Post Graduate Program in DevOps with Purdue University: ๐Ÿ“ข๐Ÿ“ข ๐“๐จ๐ฉ ๐Ÿ๐ŸŽ ๐“๐ซ๐ž๐ง๐๐ข๐ง๐  ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ ๐ญ๐จ ๐‹๐ž๐š๐ซ๐ง ๐ข๐ง ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ ๐’๐ž๐ซ๐ข๐ž๐ฌ ๐Ÿ“ข๐Ÿ“ข โฉ๐“๐จ๐ฉ ๐Ÿ๐ŸŽ ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ ๐ญ๐จ ๐‹๐ž๐š๐ซ๐ง ๐ข๐ง ๐Ÿ๐ŸŽ๐Ÿ๐Ÿฎ: โฉ๐“๐จ๐ฉ ๐Ÿ๐ŸŽ ๐‡๐ข๐ ๐ก๐ž๐ฌ๐ญ ๐๐š๐ฒ๐ข๐ง๐  ๐‰๐จ๐›๐ฌ ๐…๐จ๐ซ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ: โฉ๐“๐จ๐ฉ ๐Ÿ๐ŸŽ ๐๐ซ๐จ๐ ๐ซ๐š๐ฆ๐ฆ๐ข๐ง๐  ๐‹๐š๐ง๐ ๐ฎ๐š๐ ๐ž๐ฌ ๐Ÿ๐จ๐ซ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ: โฉ๐“๐จ๐ฉ ๐Ÿ๐ŸŽ ๐‚๐ž๐ซ๐ญ๐ข๐Ÿ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ ๐Ÿ๐จ๐ซ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ: ๐Ÿ“Œ๐“๐ž๐ฅ๐ž๐ ๐ซ๐š๐ฆ: ๐Ÿ“Œ๐“๐ฐ๐ข๐ญ๐ญ๐ž๐ซ: ๐Ÿ“Œ๐‹๐ข๐ง๐ค๐ž๐๐ˆ๐ง: ๐Ÿ“Œ๐ˆ๐ง๐ฌ๐ญ๐š๐ ๐ซ๐š๐ฆ: ๐Ÿ“Œ๐…๐š๐œ๐ž๐›๐จ๐จ๐ค: ๐Ÿ“Œ๐’๐ฅ๐ข๐๐ž๐’๐ก๐š๐ซ๐ž: ๐Ÿ“Œ๐‚๐š๐ฌ๐ญ๐›๐จ๐ฑ: ๐Ÿ“Œ๐Œ๐ž๐ž๐ญ๐ฎ๐ฉ: ๐Ÿ“Œ๐‚๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ฒ: Is there any eligibility criteria for this program? A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and . About Course: Why Learn Python for Data Science? Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. Itโ€™s continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature
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