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 1 | # Data Science RoadMap
 2 | 
 3 | ## Table of Contents
 4 | 
 5 | 1. [Data Science Vs AI vs Machine Leanrning](#datascience-vs-ai-machine-learning)  
 6 | 
 7 | 2. [Prerequisite before Jumping in Data Science](#datascience-jumping)
 8 |   
 9 | 3. [Free Courses for Data Science](#free-courses-for-datascience)
10 | 
11 | 4. [Best Paid Courses for Data Science](#paid-courses)     
12 | 
13 | 
14 | # Data Science Vs AI vs Machine Leanrning
15 | 
16 | - Add Content Here
17 | 
18 | # Prerequisite before Jumping in Data Science
19 | 
20 | -“ Deeper the roots, taller the trees grow ”
21 | Various Prerequisites for Data Science are:
22 | 
23 | 1. Machine Learning
24 | 
25 | 2. Mathematical Modeling
26 | 
27 | 3. Statistics
28 | 
29 | 4. Computer Programming
30 | 
31 | 5. Databases
32 | What to cover in Programming and Statistics?
33 | 
34 | When it comes to programming language, there is a lot of debate on Python vs R. Both languages have their own pro’s and cons. Personally, I would recommend Python as it is a general multi-purpose language and has a lot of visualisation libraries like Bokeh, Seaborn and Pygal.
35 | 
36 | Importing Data in Python,
37 | Pandas Foundation,
38 | Python Data Science Toolbox,
39 | Databases in Python,
40 | Data Visualization with Python,
41 | Interactive Data Visualization with Bokeh,
42 | Merging DataFrames with pandas,
43 | For Statistics,
44 | 
45 | Statistical Distributions & probability theory ( Calculating MGF, CGF, Mean, Median, Mode, Variance Maximum likelihood Expectation, Central limit theorems, ANOVA ),
46 | Fitting of a distribution,
47 | Sampling & Testing of a hypothesis,
48 | Bayesian Modeling,
49 | Regression and Time Series,
50 | 
51 | # Free Courses for Data Science
52 | 
53 | 1.[Data Scientist with Python](https://www.datacamp.com/tracks/data-scientist-with-python)(beginner)
54 | 2.[Data Scientist with R](https://www.datacamp.com/tracks/data-scientist-with-r)(beginner)
55 | 3.[IBM Data Science Professional Certificate](https://www.coursera.org/specializations/ibm-data-science-professional-certificate)(professional)(applicable for finacial aid )(free of cost)
56 | 4.[INTRODUCTION TO DATA SCIENCE](https://in.udacity.com/course/intro-to-data-science--ud359)(Beginners)
57 | 
58 | 
59 | # Best Paid Courses for Data Science
60 | 


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