From e55b50b63de15b93b7c40788bab1557837a35a99 Mon Sep 17 00:00:00 2001
From: Roshan Sharma <40719199+roshnet@users.noreply.github.com>
Date: Tue, 30 Oct 2018 17:09:45 +0530
Subject: [PATCH] Fix typos; Impose standard guidelines

---
 Data Science/README.md | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/Data Science/README.md b/Data Science/README.md
index 85f1688..e8b1ed7 100644
--- a/Data Science/README.md	
+++ b/Data Science/README.md	
@@ -3,17 +3,17 @@ My Journey to Data Scientist
 
 # Data Science
 
-Data Science is the Mixture of Statistics and Probability, Algorithms and Codes. So, Data Science is all About Algorithms and Maths to implement together using Programming. Selection of right Alogrithms and Method is very important in Data Science. We can learn R or Python or Both for Data Science as both have a large library for Data Science. So we will first learn Programming for Data Science.
-We will Start it with Python and then R.
+Data Science is a mixture of statistics and probability, algorithms and codes. So, Data Science is all about algorithms and mathematics to implement together using programming. Selection of the right algorithms and methods, is of uttermost importance in Data Science. We can learn R or Python or both for Data Science, as both possess a large library for Data Science. So, we will first learn Programming for Data Science.
+We will Start it with Python, and then switch to R.
 
-## Data Science have 6 Major Fields
-1. Data Mining
-2. Machine Learning
-3. Statistics & Probability
-4. Data Analysis
-5. Big Data
-6. Data Engineering
+## Data Science has 6 major Fields
+* Data Mining
+* Machine Learning
+* Statistics & Probability
+* Data Analysis
+* Big Data
+* Data Engineering
 
-So choose one field and work on Data Science.
+So, choose one field and work on Data Science.
 
-Check Python Lession Now and learn Python.Check comments used in Python files for better understanding.
+Check Python Lession Now and learn Python. Check comments used in Python files for better understanding.