Discover and read the best of Twitter Threads about #learningpath
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Continuing the #learningpath series
⭐Next skill in #DataScience industry is R programming (One of the most important and my favorite)
⭐There always been a debate around R v/s Python
⭐Step by step learning path for R programming
A Thread 🧵
⭐Next skill in #DataScience industry is R programming (One of the most important and my favorite)
⭐There always been a debate around R v/s Python
⭐Step by step learning path for R programming
A Thread 🧵
1. Introduction to R
⭐Introduction to R
⭐Arithmetic operation
⭐Variable assignment
⭐Basic Data types
⭐Vectors, Matrix, List, Array and Data Frames
⭐Factors, Factor levels, Ordered factors
⭐Introduction to R
⭐Arithmetic operation
⭐Variable assignment
⭐Basic Data types
⭐Vectors, Matrix, List, Array and Data Frames
⭐Factors, Factor levels, Ordered factors
2. Data Input and Output in R
⭐Intro to import data
⭐Reading csv, txt, flat and excel files
⭐Saving output
⭐Intro to import data
⭐Reading csv, txt, flat and excel files
⭐Saving output
Continuing the #learningpath series
⭐Next skill in #DataScience industry is @MSPowerBI (One of the fastest growing #skills 🚀)
⭐Power BI is one of the leaders in Analytics and BI platforms in @gartner magic quadrant
⭐Step by step learning path for Power BI
A Thread 🧵
⭐Next skill in #DataScience industry is @MSPowerBI (One of the fastest growing #skills 🚀)
⭐Power BI is one of the leaders in Analytics and BI platforms in @gartner magic quadrant
⭐Step by step learning path for Power BI
A Thread 🧵
1- Getting Started with @MSPowerBI
⭐Power BI Interface
⭐Design flow
⭐Type of data sources
⭐Data Terminology
⭐Power BI Interface
⭐Design flow
⭐Type of data sources
⭐Data Terminology
2.1- Connecting to Data and Intro to Query Editor
⭐Type of Data Sources
⭐Intro to the @MSPowerBI Query Editor
⭐Table Transformations
⭐Text, Number & Date calculations
⭐Index & Conditional Columns
⭐Grouping & Aggregating Data
⭐Pivoting & Unpivoting
⭐Type of Data Sources
⭐Intro to the @MSPowerBI Query Editor
⭐Table Transformations
⭐Text, Number & Date calculations
⭐Index & Conditional Columns
⭐Grouping & Aggregating Data
⭐Pivoting & Unpivoting
Continuing the #learningpath series.
Next skill in #DataScience industry is SQL (One of the most In-Demand Skills )
⭐There are 1,000,000+ jobs available in USA with requirement of SQL as a skill
Step by step learning SQL for data scientists
A thread🧵
#data #datascience #sql
Next skill in #DataScience industry is SQL (One of the most In-Demand Skills )
⭐There are 1,000,000+ jobs available in USA with requirement of SQL as a skill
Step by step learning SQL for data scientists
A thread🧵
#data #datascience #sql
1. SQL Basics
⭐ Creating Tables
⭐ Inserting values
⭐ Adding a New column in the existing Table
⭐ Deleting a Column from a Table
⭐ Deleting the Table
⭐ Creating Tables
⭐ Inserting values
⭐ Adding a New column in the existing Table
⭐ Deleting a Column from a Table
⭐ Deleting the Table
2. SQL start with Commands
⭐ Learn basic SQL commands: SELECT, FROM and WHERE
⭐ Learn logical operators in SQL
⭐ Learn commands: IN , AND, OR, NOT, LIKE, NULL, ISNULL, BETWEEN
⭐ Learn basic SQL commands: SELECT, FROM and WHERE
⭐ Learn logical operators in SQL
⭐ Learn commands: IN , AND, OR, NOT, LIKE, NULL, ISNULL, BETWEEN
Continuing the #learningpath series.
Next skill in #DataScience industry is @tableau.
Industry leader in Business intelligence and data visualization (one of the most demanding skill)
Step by step learning @tableau
#datafam #dataviz
A thread 🧵
Next skill in #DataScience industry is @tableau.
Industry leader in Business intelligence and data visualization (one of the most demanding skill)
Step by step learning @tableau
#datafam #dataviz
A thread 🧵
