DATA SCIENCE ASSOCIATE Training provided by DataMites Institute Training Institute in Bangalore,Bommanahalli
DATA SCIENCE ASSOCIATE free videos and free material uploaded by DataMites Institute Training Institute staff .
Introduction to Data Science
What Is Data Science?
Evolution Of Data Science
Data Science Terminologies
Data Science Vs Business Analytics Vs Big Data
Comparing Various Related Domains With Data Science
Classification Of Business Analytics
Descriptive Analytics
Predictive Analytics
Discovery Analytics And Prescriptive Analytics
Data Science Project Workflow
Crips – Dm Framework
Data Science Project Workflow
Roles In Data Science
Industry Roles And Responsibilities
Application Of Data Science In Various Industries
Health Care
Finance & Banking
Manufacturing
Retail
Logistics
Human Resource
Python Installation And Setup
Descriptive And Inferential Statistics
Definitions
Terms
Types Of Data
Harnessing Data
Types Of Sampling Data
Simple Random Sampling
Stratified
Cluster Sampling
Sampling Error
Exploratory Analysis
Mean
Median And Mode
Data Variability
Standard Deviation
Z-Score
Outliers
Distributions
Normal Distribution
Central Limit Theorem
Histogram
Normalization
Normality Tests
Skewness
Kurtosis
R Introduction
R Installation And Setup
R Studio – R Development Environment
R Language Basics
R Data Science
R Data Structures
R Control Statements
R Data Science Packages Exploration
Project In R
Introduction To Statistics
Descriptive And
Inferential Statistics. Definitions
Terms
Types Of Data
Harnessing Data
Types Of Sampling Data. Simple Random Sampling
Stratified
Exploratory Analysis
Mean
Median And Mode
Data Variability
Standard Deviation
Z-Score
Outliers
Distributions
Normal Distribution
Central Limit Theorem
Histogram
Normalization
Normality Tests
Skewness
Kurtosis
Correlation & Regression
Direct And Indirect Correlation
Correlation With Strong And Weak Colleration
Calculating Correlation With Python
Regression Theory
Simple Linear Regression With Python
Numpy Numerical Python Package
Introduction
Numpy Basics
Creating Numpy Arrays
Structure And Content Of Arrays
Subset
Slice
Index And Iterate Through Arrays
Multidimensional Arrays
Python Lists Vs Numpy Arrays
Operations On Numpy Arrays
Basic Operations
Operations On Arrays
Basic Linear Algebra Operations
Pandas Panel Data Package
Pandas Basics
Indexing And Selecting Data
Merge And Append
Grouping And Summarizing Dataframe
Lambda Function & Pivot Tables
Data Cleaning Data Munging With Pandas
Pandas Basics
Indexing And Selecting Data
Merge And Append
Grouping And Summarizing Dataframe
Lambda Function & Pivot Tables
Basics Of Visualization
Components Of A Plot
Data Visualization Toolkit
Functionalities Of Plots
Sub-Plots
Plotting Categorical And Time Series Data
Introduction
Plotting Aggregate Values Across Categories
Plotting Distributions Across Categories
Bivariate Distributions - Plotting Pairwise Relationships
Vector Spaces
Vectors: The Basics
Plotting Data Distributions
Introduction
Univariate Distributions
Univariate Distributions - Rug Plots
Machine Learning Introduction
What is Ml? Ml Vs AI
Ml Workflow
Statistical Modeling Of Ml
Application Of Ml
Machine Learning Algorithms
Popular Ml Algorithms
Clustering
Classification And Regression
Supervised Vs Unsupervised
Choice Of Ml Algorithms
Simple Linear Regression
Regression Line
Best Fit Line
Linear Regression In Python
Assumptions Of Simple Linear Regression
Reading And Understanding The Data
Hypothesis Testing In Linear Regression
Building A Linear Model
Residual Analysis And Predictions
Linear Regression Using Sklearn
Multiple Linear Regression
Simple Linear Reg Vs Multiple Linear Reg
Multicollinearity
Dealing With Categorical Variables
Model Assessment And Comparison
Feature Selection
Logistic Regression Binary Classifier
Introduction: Univariate Logistic Regression
Binary Classification
Sigmoid Curve
Finding The Best Fit Sigmoid Curve Summary
Logistic Regression Model Building
Multivariate Logistic Regression
Data Cleaning And Preparation
Building Your First Model
Feature Elimination Using Rfe
Confusion Matrix And Accuracy
Manual Feature Elimination
Install Sql Packages And Connecting To DB
Sqlalchemy
Pymysql
Rdbms (Relational Database Management) Basics
Basics Of Sql Db
Primary Key
Foreign Key
Select Sql Command, Where Condition
Retrieving Data With Select Sql Command
Where Condition To Pandas Data Frame.
Advanced SQL
Order By Clause
Aggregate Functions
Group By Clause
Having Clause
Nested Queries
Inner Join, Outer Joins, Multi Join
Data Science: Project Structure
Crisp Dm Framework
6-Phase Project Execution
Business Aspects
Ml Use Case Development
Project Management Methodology
Challenges And Pitfalls
Data Science skills are in big demand, every present-day organization seeks individuals who can leverage the potential of data, for making important decisions. The Data Science for Managers course mainly concentrates on the tools and techniques needed to analyze the data of a business and derive insights from them and use them to make further business decisions.
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