# The Absolute Beginners Guide to Data Science

Link : The Absolute Beginners Guide to Data Science
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Build your mathematics and statistics foundations strongly and ensure your Data science fundamentals are in place!
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What you'll learn
• You will gain a firm foothold of the fundamentals of Data Science. The course provides the entire toolbox you need to become a data scientist.
• You will understand the mathematics and statistics behind Machine Learning
• You will understanding the Octagonal Technical Facets of Data Science
• You will start coding in Python and learn how to use it for statistical analysis
• You will improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
• You will unfold the power of deep neural networks
Description

What will i Learn and Apply post program:

We build your foundation by going through the basics of Mathematics, Statistics and Machine Learning using our foundation training program on Data Science - DS1 Module:

In our DS1 Module You will Learn:

1)Descriptive & Inferential Statistics

2)Data Visualization

3)Python Programming

4)Data Distributions - Discrete/Continuous

5)Matrix Algebra, Coordinate geometry & Calculus

6)CRISP-DM Framework 7)Machine Learning - Part 1

9)Simple & Multiple Linear regression with case studies

Link : The Data Science Course 2020: Complete Data Science Bootcamp
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Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
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Link :  R Programming A-Z™: R For Data Science With Real Exercises!
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Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2
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Learn the critical elements of Data Science, from visualization to databases to Python and more, in just 6 weeks!

Link :  Data Science 2020 : Complete Data Science & Machine Learning
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Machine Learning A-Z, Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science
What you'll learn
• Learn Complete Data Science skillset required to be a Data Scientist with all the advance concepts
• Master Python Programming from Basics to advance as required for Data Science and Machine Learning
• Learn complete Mathematics of Linear Algebra, Calculus, Vectors, Matrices for Data Science and Machine Learning.
• Become an expert in Statistics including Descriptive and Inferential Statistics.
• Learn how to analyse the data using data visualization with all the necessary charts and plots
• Perform data Processing using Pandas and ScikitLearn
Description

Data Science and Machine Learning are the hottest skills in demand but challenging to learn. Did you wish that there was one course for Data Science and Machine Learning that covers everything from Math for Machine Learning, Advance Statistics for Data Science, Data Processing, Machine Learning A-Z, Deep learning and more?

Well, you have come to the right place. This Data Science and Machine Learning course has 250+ lectures, more than 25+ hours of content, 11 projects including one Kaggle competition with top 1 percentile score, code templates and various quizzes. Online Course CoupoNED I am very happy that there are bloggers who can help my business