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Niket Kedia

@niketkedia

Feb 9

⭐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

2⃣ Basics of Python -

⭐Functions, Modules and strings
⭐Lists, Tuples, Sets, and Dictionaries
⭐Installing a Package (Pandas, Scipy, NumPy,Plotly etc.)

Read 9 tweets

Niket Kedia

@niketkedia

Jan 31

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

🔣 Soft skills -
💡 Effective Communication
💡 Business acumen and knowledge
💡 Curiosity and Critical thinking
💡 Intuition
💡 Problem solving
💡 Presentation/storytelling
💡 Awareness/research
💡 Flexibility
💡 Time management
💡 Attention to detail
💡 Networking

Read 4 tweets

Niket Kedia

@niketkedia

Jan 30

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

@rushworth_a

🌟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

@researchremora

🌟flotsam - @researchremora
🌟Georgios Karamanis - @geokaramanis
🌟Gina Reynolds - @EvaMaeRey
🌟Hadley Wickham - @hadleywickham
🌟Isabella Velásquez - @ivelasq3
🌟Jenny Bryan - @JennyBryan
🌟Keith McNulty - @dr_keithmcnulty
🌟Kelly Bodwin - @KellyBodwin

Read 7 tweets

Niket Kedia

@niketkedia

Jan 26

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 🧵

@github

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

@github

1.1 GitHub Profile - @github
▶️A crucial part of data science jobs is to be able to code, and GitHub serves as a perfect platform to access the coding skills and display hands-on ability to solve problems.
▶️If you are beginner or a student @github is must to stand out

Read 15 tweets

Niket Kedia

@niketkedia

Jan 19

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

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

Read 11 tweets

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