- decks
- flashcards
- learners
Decks in this class (19)
L1: What is Data Science?
What is an algorithm 1,
Define a model in data analysis 2,
What are outliers 3
8
cards
L1: What does Data Scientis do?
Comma separated values csv tab se...,
Data file types 2,
Data format 3
18
cards
L2: Big Data and Data Mining
Analytics 1,
Big data 2,
Big data cluster 3
37
cards
L2: Deep Learning and Machine Learning
Term 1,
Artificial neural networks 2,
Bayesian analysis 3
17
cards
L3: Data Science Application Domains
Arithmetic models 1,
Case study 2,
Data mining 3
6
cards
L3: Careers and Recruiting in Data Science
Analytical skills 1,
Chief information officer cio 2,
Computational thinking 3
12
cards
L4: Understanding Data
Comma separated values csvs 1,
Delimited text file formats 2,
Nosql databases 3
9
cards
L4: Data Literacy
Acid compliance 1,
Cloud based integration platform ...,
Column based database 3
22
cards
V2_L5: Tools for Data Science
Apache mllib 1,
Apache spark 2,
Api 3
57
cards
V3_L1: Problem to approach
Business understanding
Analytic Approach
44
cards
V3_L1: Data Collection
Analytics team 1,
Data collection 2,
Data integration 3
18
cards
V3_L2:Data understanding
Automation 1,
Data collection 2,
Data compilation 3
22
cards
V3_L3: From Modeling to Evaluation
Binary classification model 1,
Data compilation 2,
Data modeling 3
18
cards
V3_L3: From Deployment to Feedback
Browser based application 1,
Cyclical methodology 2,
Data collection refinement 3
13
cards
V4_L1: Py Basics
Ai 1,
Application development 2,
Arithmetic operations 3
40
cards
V4_L2: Python Data Structure
Aliasing 1,
Ampersand 2,
Compound elements 3
22
cards
V4_L3: Python Programming Fundamentals
Analogy 1,
Attributes 2,
Branching 3
24
cards
V4_L4: Pandas &Numpy
Csv file 1,
Txt file 2,
Append 3
30
cards
V4_L5: APIs and Data Collection
Api key 1,
Apis 2,
Audio file 3
48
cards
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Data Science
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