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Become Data Scientist in 2022:

▶️Learning path for data science tools and algorithm
▶️Learn resources for data science
▶️Build Data science Portfolio
▶️Data science resume Building
▶️Apply for data science jobs

Steps to follow👇 Learning Path for data science tools and algorithm

https://twitter.com/niketkedia/status/1492080755123490816?s=20&t=o8nM4Xz0yYJHNsUXDecrmg

As the world is coming more closer and border is becoming less and less important.

You can sit in remote village in India and work for USA based tech companies.

One skill you can acquire is learning a new language which more employable and can lead to a higher income💰

check👇 English:

⭐️World's local language and help you connect to world, companies, universities etc.

List of resources(@YouTube) for Data Science learning path:

▶️Tableau @tableau
▶️MS Excel @msexcel
▶️R progamming
▶️Python @ThePSF
▶️Power Bi @MSPowerBI
▶️SQL

check them 👇 ▶️Tableau
(Copy and paste the link in search bar)

1. youtube .com/watch?v=ttCDqyfrcEc
2. youtube .com/watch?v=Wh4sCCZjOwo
3. youtube .com/watch?v=W-cnCuqN-S8
4. youtube .com/watch?v=KA0QHWm0nWo

Few amazing SQL experts and industry leaders to follow on Twitter and learn from them.

Do follow them 👇 🌟Aaron Nelson - @SQLvariant
🌟Andrea Allred - @RoyalSQL
🌟Andy Yun - @SQLBek
🌟Angela Henry - @SQLSwimmer
🌟Bradley Ball - @SQLBalls

100+ Freelance/remote/job websites to get.
👇Check it below
A thread 🧵 ‼Enago. com
*️⃣Lionbridge .ai
⏩coniferhealth .com/careers
⏬TheContentPanel .com
▶️mckesson .com/Careers
▶️Scribendi .com
↪ jobsearch .covance .com
→99designs
➡️boards .greenhouse. io
→Bonsai
→Codementor
→Crossover
→Designhill
→Fiverr
→Flexjobs
→Freelancer
→Guru

⭐Continuing the #DataScience learning path series and next skill is Python
⭐There always been a debate around R v/s Python
⭐Step by step learning path for Python for data analysis 1⃣ Intro to Python -

⭐Installing and Setting up environment
⭐Install Anaconda and Python
⭐Launch a Jupyter Notebook
⭐Variables and Operators
⭐Booleans and Comparisons
⭐expressions and statements

There are 2 kind of skills needed in any job.
1. Hard skills
2. Soft skills

Data science is no different and require hard and soft skills as equal in any of the industry.

Few of the skills needed in Data Science.

Check it here 👇 ⚙️ Hard Skills
💡 Programming and Specific tools skills (R, Python, SAS etc.)
💡 Algorithm, Mathematics, Statistics and Probability knowledge
💡 End to end data science project life cycle(Gathering, Cleaning, Preparing, Modelling and presenting)
💡 Upgrading to new technologies

Few amazing R experts and industry leaders to follow on Twitter and learn Data Science from them.

Twitter is free university. Do follow and learn from them.

👇Follow them 🌟Alastair Rushworth - @rushworth_a
🌟Alison Presmanes Hill - @apreshill
🌟Allison Horst - @allison_horst
🌟Amelia McNamara - @AmeliaMN
🌟Caitlin Hudon - @beeonaposy
🌟Cédric Scherer - @CedScherer
🌟Elaine McVey - @eamcvey
🌟Emily Riederer - @EmilyRiederer

It is Estimated to have 11,000,000+ job openings 🚀in Data Science industry by 2026.

Building is portfolio to stand out is absolutely necessary.

Tips to build your #datascience portfolio. A Thread 🧵 1. GitHub Profile - @github
▶️Over 65 million developers and more than 3 million companies use GitHub . GitHub says that 72% of Fortune 50 companies use the site.
▶️ There is always debate about GitHub over blog. I started with blog and later created GitHub profile

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 🧵 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

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 🧵 1- Getting Started with @MSPowerBI
⭐Power BI Interface
⭐Design flow
⭐Type of data sources
⭐Data Terminology

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 1. SQL Basics
⭐ Creating Tables
⭐ Inserting values
⭐ Adding a New column in the existing Table
⭐ Deleting a Column from a Table
⭐ Deleting the Table

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 🧵 1. Getting Started with @tableau -
⭐ The Tableau Interface
⭐Design Flow
⭐File Types
⭐Data Types
⭐ Show Me
⭐ Data Terminology

#datafam #dataviz

Over the next few days I’ll sharing the learning path for the tools used in #datascience industry.
First and MUST HAVE skill if you want to break into #datascience is @msexcel
A thread 🧵 1. Enter Data and create basic Tables in @msexcel
#msexcel

Data Science job roles and responsibilities
A thread🧵 Data Analyst
They work with project managers to identify critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
Like the data scientist, the analyst also performs statistical analysis and make predictive models.
Tools: R, Python, SAS, SQL