***** Data Science Training - https://www.edureka.co/data-science *****
This Edureka tutorial on "Data Science Training" will provide you with a detailed and comprehensive training on Data Science, the real-life use cases and the various paths one can take to become a data scientist. It will also help you understand the various phases of Data Science.
Data Science Blog Series: https://goo.gl/1CKTyN
http://www.edureka.co/data-science
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Data Science Training | Data Science Tutorial for Beginners | Data Science with R | Edureka
9. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Today’s Training Topics
❖ Data Scientist and Various Paths
❖ Data Science Training at Edureka
❖ What is Data Science?
❖ Data Science Use Cases
❖ Data Science Projects at Edureka
❖ Data Science Demo
25. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data science, also known as data-driven science, is an
interdisciplinary field about scientific methods, processes, and
systems to extract knowledge or insights from data in various
forms, either structured or unstructured.
It is the study of where information comes from, what it
represents and how it can be turned into a valuable resource in
the creation of business and IT strategies.
What is Data Science?
26. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Statistics
Data Science Peripherals
27. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Statistics Prog Languages
Data Science Peripherals
28. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Statistics Prog Languages Software
Data Science Peripherals
29. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Statistics Prog Languages Software Machine Learning
Data Science Peripherals
30. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Statistics Prog Languages Software Machine Learning Big Data
Data Science Peripherals
32. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
It’s not a New Thing
Statistics
Artificial Intelligence
33. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
It’s not a New Thing
Statistics
Artificial Intelligence
34. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
It’s not a New Thing
Statistics
Artificial Intelligence
35. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
It’s not a New Thing
Statistics
Artificial Intelligence
Business Intelligence
36. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
It’s not a New Thing
Statistics
Artificial Intelligence
Business Intelligence
Data Analytics
42. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Preparation
& Cleaning
65%
Analysis & Insights
10%
Strategizing
10%
Modeling &
Iteration
10%
Making
Decision 5%
Roles of Data Analyst - Then
45. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Sales, Data Preparation
& Cleaning,
65% 10%
Sales, Analysis &
Insights,
10% 25%
Strategizing
10% 20%
Modeling &
Iteration
10% 20%
Making
Decision
5% 25%
Roles of Data Scientist - Now
46. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Recommendation Engines Object Detection
Data Science – Use Cases
47. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Voice Assistants Sentimental Analysis
Data Science – Use Cases
48. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Acquisition
Data Science Life Cycle
49. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Acquisition Data Preparation
Data Science Life Cycle
50. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Acquisition Data Preparation
Hypothesis &
Modelling
Data Science Life Cycle
51. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Acquisition Data Preparation
Hypothesis &
Modelling
Evaluation &
Interpretation
Data Science Life Cycle
52. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Acquisition Data Preparation
Hypothesis &
Modelling
Deployment
Evaluation &
Interpretation
Data Science Life Cycle
53. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Data Acquisition Data Preparation
Hypothesis &
Modelling
Deployment
Operation &
Optimization
Evaluation &
Interpretation
Data Science Life Cycle
55. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Projects @edureka!
The goal of this project is to explore the movie
dataset, given the parameters like: "duration", "movie
title", "gross collection", "budget", "title year", etc.
Movies Collection
The Use-Case scenario is to create recommendations
for customers of a grocery store based upon historical
transaction data.
Recommendation System for Grocery Store
56. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Projects @edureka!
This project focuses on social media analytics. The
problem can be defined as Measuring, Analyzing, and
Interpreting interactions and associations between
people, topics and ideas
Twitter Analysis
This project is about analyzing the data and applying
time series model to forecast the number of bookings
an Airline firm can expect each month
Air Passengers Forecasting
57. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Hi I am john, I need some
baseline for pricing my Villas
and Independent Houses
Real Estate Company Use Case
58. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
4
5
6
1
2
3
Data Acquisition / Collection
60. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
4
5
6
1
2
3
Hypothesis and Modelling
F(x) Price
No of bedrooms
Criminal rate
Pollution
Population
61. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
4
5
6
1
2
3
Evaluation and Interpretation
F(x)Test set Accurate?
62. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
4
5
6
1
2
3
Deployment
Spark Java
F(x) F(x)
63. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
4
5
6
1
2
3
Operation and Optimization
New factor from data set
(E.g. Educational institutions)
F(x)
Y(x) Accurate?
65. DATA SCIENCE CERTIFICATION TRAINING https://www.edureka.co/data-science
Dataset Description
Column Description
CRIM per capita crime rate by town
ZN proportion of residential land zoned for lots over 25,000 sq.ft.
INDUS proportion of non-retail business acres per town.
CHAS Charles River dummy variable (1 if tract bounds river; 0 otherwise)
NOX nitric oxides concentration (parts per 10 million)
RM average number of rooms per dwelling
AGE proportion of owner-occupied units built prior to 1940
DIS weighted distances to five Boston employment centres
RAD index of accessibility to radial highways
TAX full-value property-tax rate per $10,000
PTRATIO pupil-teacher ratio by town
B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
LSTAT % lower status of the population
MEDV Median value of owner-occupied homes in $1000's