** Data Science Master's Program: https://www.edureka.co/masters-program/data-scientist-certification ** This video on "How to become a Data Scientist" includes all the skills required for becoming a modern day Data Scientist. This video will answer the below questions: 1. Why should you go for data science? 2. What is the roadmap to become a data scientist? 3. What are the tools and techniques required to become a data scientist? 4. What are the roles of a data scientist? Subscribe to our channel to get video updates. Hit the subscribe button above and click on the bell icon. Check out our Data Science Training Playlist: https://goo.gl/Jg1pJJ

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Agenda
Why should you go for Data Science?01
Roadmap to become a Data Scientist02
What are the tools & techniques required?03
Roles of a Data Scientist04

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Why should you go for Data
Science?

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Data Scientist is regarded as “the sexiest job of 21st century”
Why should you go for Data Science?
WHY?
01
proven by Harvard Business Review

5. www.edureka.co/data-scienceData Science Certification Training
Data Scientist is regarded as “the sexiest job of 21st century”
Why should you go for Data Science?
WHY?
02
Professionals from different verticals
Health Care FinanceTravel Social Media

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Data Scientist is regarded as “the sexiest job of 21st century”
Why should you go for Data Science?
WHY?
03
Trend and the salary
USD 120,000
03

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Roadmap
Statistics
Programming
Database
Knowledge
Machine Learning
& Deep Learning
Big Data
Data
Visualization
Problem
Solving
DATA
SCIENTIST
Data
Ingestion &
Munging

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1. Statistics
P
O
R
T
A
B
L
E
E
X
T
E
N
S
I
B
L
E
Exploratory Data Analysis
Probability Distributions
Theorems & Equations
Curve Analysis

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2. Programming
P
O
R
T
A
B
L
E
1 Python Language
2 R Programming
3 SaaS
➢ Python is an open-source general purpose
language
➢ Simple & fit for many platforms
➢ Supports libraries such as Numpy, Scipy etc.

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2. Programming
1 Python Language
2
R Programming
3 SaS
➢ R is an open-source and most popular analytical
tool
➢ R is a programming and statistical language
➢ R is used for data analysis and visualization

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2. Programming
1 Python Language
2 R Programming
3
SaS Language
➢ SAS stands for Statistical Analysis System
➢ It has plethora of statistical functions & good GUI
➢ SAS is a fourth-generation programming language

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3. Database Knowledge
You should have the basic database knowledge to store and analyze data
Databases

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4. Machine Learning & Deep Learning
MACHINE LEARNING DEEP LEARNING
Algorithms Libraries
Supervised Learning
UnSupervised Learning
Reinforcement Learning

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5. Big Data
➢ Handles a humungous volume of segregated and
non-segregated data
➢ Distributed processing
➢ You can write MapReduce codes

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6. Data Ingestion & Munging
➢ Data Ingestion refers to importing, transferring, loading and processing data for later use
or storage in a database
➢ Data Munging is the activity that you do on the raw data to make it “clean”
Data Ingestion
Tools

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7. Data Visualization
➢ Data Ingestion refers to importing, transferring, loading and processing data for later use
or storage in a database
➢ Data Munging is the activity that you do on the raw data to make it “clean”
Data Visualization
Tools
Google Charts

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8. Problem Solving
Explore Data
Analyze Data
Take data-driven decisions
Communicate with
co-workers

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Roles of Data Scientist

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Roles of a Data Scientist
Hands-on experience in data mining
techniques
Develop Operational Models
Perform Data Conditioning
Data Scientist research, analyze, execute and present statistical methods to gain insights.

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Data Science Certification Training
R Language Python Language
Edureka’s Data Science Course on Python helps you
gain expertise in various machine learning. It exposes
you to concepts of Statistics, Time Series and different
classes of machine learning.
Edureka's Data Science Training lets you gain
expertise in Machine Learning Algorithms. It includes
Statistics, Time Series, Text Mining and Deep
Learning.
https://www.edureka.co/data-scienceLINK: https://www.edureka.co/python-data-science-courseLINK:

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Session in a Minute
Why go for data scientist? Roadmap/ Journey
Roles and responsibilities
Tools and Techniques
Data Science Training

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