Edureka Data Science Master Program:
https://www.edureka.co/masters-program/data-scientist-certification
This Edureka video on Data Scientist Salaries Globally talks about the average salaries around the globe for the Data Scientist profiles. These salaries have been researched and curated after referring to various websites like Glassdoor, Indeed etc.

Checkout Edureka's Machine Learning Project playlist: https://bit.ly/3ij9Uw7
Checkout Edureka's Machine Learning Python Tutorial playlist: https://bit.ly/3szLTCO
Checkout Edureka's Machine Learning R Tutorial Playlist: https://bit.ly/3duYGlF
Checkout Edureka's Machine Learning Tutorial Blog Series: https://bit.ly/2PX5lIp

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

------------------------------------Edureka Online Training and Certification---------------------------------

DevOps Online Training: https://bit.ly/2BPwXf0
🟣 Python Online Training: https://bit.ly/2CQYGN7
AWS Online Training: https://bit.ly/2ZnbW3s
🟣 RPA Online Training: https://bit.ly/2Zd0ac0
Data Science Online Training: https://bit.ly/2NCT239
🟣 Big Data Online Training: https://bit.ly/3g8zksu
Java Online Training: https://bit.ly/31rxJcY
🟣 Selenium Online Training: https://bit.ly/3dIrh43
PMP Online Training: https://bit.ly/3dJxMTW
🟣 Tableau Online Training: https://bit.ly/3g784KJ

-----------------------------------------Edureka Masters Programs---------------------------------------------------

DevOps Engineer Masters Program: https://bit.ly/2B9tZCp
🟣Cloud Architect Masters Program: https://bit.ly/3i9z0eJ
Data Scientist Masters Program: https://bit.ly/2YHaolS
🟣Big Data Architect Masters Program: https://bit.ly/31qrOVv
Machine Learning Engineer Masters Program: https://bit.ly/388NXJi
🟣Business Intelligence Masters Program: https://bit.ly/2BPLtn2
Python Developer Masters Program: https://bit.ly/2Vn7tgb
🟣RPA Developer Masters Program: https://bit.ly/3eHwPNf

-----------------------------------------Edureka PGP Courses---------------------------------------------------

Artificial and Machine Learning PGP: https://bit.ly/2Ziy7b1

-----------------------------------------------------------------------------------------------------------

𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

#Edureka #DataScienceEdureka #DataScientistSalary #DataScienceForBeginners #DataScience #learnDataScience #withMe
-------------------------------------

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:

Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods

----------------------

Prerequisites

There are no prerequisites for enrolment to the Masters Program. However, as a goodwill gesture, Edureka offers a complimentary self-paced course in your LMS on SQL Essentials to brush up on your SQL Skills. This program is designed and developed for an aspirant planning to build a career in Machine Learning or an experienced professional working in the IT industry.

--------------------------------------

For online Data Science training write to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).