30 Days of Data Science

Data Science can be termed as a branch of Computer Science which revolves exclusively around Statistics, Data, and Algorithms. There are a hell lot of things which you can learn to chisel your skills.

In this 30 Days of Data Science, we aim to increase your craving towards the domain and to help you draw a path to make a career in this field.

We can safely assume that SQL, Statistics, and Machine Learning is the bread and butter of this domain. So, in the coming 30 articles, we will get a gist of what Data Science is and how to get started.

Following is the first draft of the plan, if you want to learn something more, then do comment the topic.

Day 1 – Introduction to Data Science(Pillars of the domain)
Day 2 – Introduction to SQL
Day 3 – Basic SQL Queries to get you started
Day 4 – Intermediate level SQL queries
Day 5 – SQL advance concepts
Day 6 – SQL tricky questions(read interview questions)
Day 7 – Python installations and basics to get you started
Day 8 – Python tricky questions
Day 9 – Exploratory Data Analysis in Python
Day 10 – Practice Numpy
Day 11 – Practice Pandas
Day 12 – Understand Linear Regression
Day 13 – Implement Linear Regression in Python
Day 14 – Understand Logistic Regression
Day 15 – Implement Logistic Regression
Day 16 – Python Interview questions
Day 17 – Understand NLP in layman terms
Day 18 – NLP basic algorithms in Python
Day 19 – Understand Time Series forecasting
Day 20 – Implement Time series algorithms
Day 21 – Understand Web Scrapping
Day 22 – Web Scrapping mini project
Day 23 – Basics of Statistics
Day 24 – Intermediate Statistics
Day 25 – Statistics interview Questions
Day 26 – Solving Case Studies
Day 27 – Solving Guesstimates
Day 28 – Solving Brain teasers
Day 29 – Solving Hackathons – Missing Value Treatment and EDA
Day 30 – Implementing algorithms and checking the performance of the models

Each article will be a 30 minutes read. By the end of the time frame you will be able to implement Linear,Logistic,NLP,Time Series algorithms, Web Scrapping along with an intermediate level knowledge of SQL,Python, and Statistics.

You will be able to solve a hackathon end-to-end.

All the best 🙂

The Data Monk

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