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Analyzing data one byte at a time

Python, SQL, GitHub projects and much more!

Welcome to my data science-related blog! This blog has added value to my life, and I love having the opportunity to share my passions and learnings with my loyal readers. Read on, and enjoy.

Robot
Blog: Welcome

Statistics - Day 8

Hypothesis Testing, p-values

Statistics - Day 7

Student t-distribution

Statistics - Day 6

Inferential Statistics, Types of Distributions, Central Limit Theorem

Statistics - Day 5

Hands -on Project!

Statistics - Day 4

Measures of central tendency, Skewness, Variance, Covariance and other terminologies

Statistics - Day 3

Population, Sample

Statistics 101 - Day 2

Multivariate Data Using scatterplot - to show correlation between 2 variables. Types of association (can be positive/negative): Linear...

Statistics 101 - Day 1

Starting after so long! Apologies, was stuck in a lot of office work. Alright, so I have started learning from the very depth of...

Day 55 out of 66 days of Data

Hi! So, I took some time and completed Python Specialization by University of Michigan! Honestly, a few exercises were a bit challenging...

Day 5

Today, I will be reading about different steps required to create a data science project. Reading this article here My key takeaways:...

Day 4

Learning about String and dictionaries today! I admit it was pretty tough! Learnt a lot, but I need to further practice. Yay, got...

Day 2 & Day 3

Hi, it was a long day today. Not very pumped up today but I will still try. So, learning today - Booleans! Booleans isn't just about...

Day 1

This is an initiative by Ken Jee, a leading data scientist to invoke a habit of learning about data every single day for 66 days.

Catching Up!

Hi, apologies for not being frequent with the posts! A lot of stuff going on, I was supposed to go to UC San Diego for my MS in Business...

Miscellaneous - Useful Hacks!

Things I learnt in 30-day coding Challenge and assignments

SQL - Day 4

DML, DDL, DCL

SQL - Day 3

All types of Joins, Sub-queries and Correlated sub-queries

SQL - Day 2

Aggr functions, GROUP BY, Having clause

SQL - Day 1

Basics, Select command, Logical operators and Wild card characters

Blog: Blog2

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