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Foundations of Data Science

This class was created by Brainscape user Ozan Ayata. Visit their profile to learn more about the creator.

By: Ozan Ayata
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Decks in this class (12)

Module 1: Intro to Data Science
What is the predictive modelling ...,
What is data mining machine learn...,
What is a variable in python
8  cards
Module 2: working with strings, lists, tuples, dictionaries
Working with strings talk about i...,
Working with strings define forma...,
What are tuples
4  cards
Module 3: NumPy
Definition of libraries,
What is numpy and what is it good...,
What is an array and matrix
4  cards
Module 4: Object-oriented programming
What is oop what is it useful for...,
Basics of oop including concept c...,
Class and objects with a book exa...
5  cards
Module 5: Intro to Pandas
Overview and benefits of pandas,
What is a series in pandas,
What are dataframes in pandas
7  cards
Module 6: Data Collection and Cleaning
What are apis,
Html vs xml,
Javascript and json
9  cards
Module 7: Descriptive statistics
Different types of data numerical...,
Summary statistics measure of loc...,
Summary statistics measures of sp...
5  cards
Module 8: Forecasting with Pandas
What is forecasting and what are ...,
What does the predicatability of ...,
Terms trend seasonality cycles
9  cards
Module 9: Time Series
What is time series,
Viewing time with different granu...,
Performing arithmetic on time series
3  cards
Module 10: Machine Learning Pt. 1
Explain what machine learning is ...,
Predictor and target learning model,
Supervised and unsupervised learning
10  cards
Module 11: Machine Learning pt.2
Ordinary least squares regression,
What is feature engineering,
What are dummy variables
4  cards
Module 12: Databases and SQL basics
What are relational databases,
Keys,
Relational vs non relational
6  cards

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Foundations of Data Science

  • Class purpose General learning

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