Akshay Angadi

[Akshay Angadi @Akshay_Angadi_]

Tons of lessons are there is ML,
But these 5 lessons are game changers.

[Akshay Angadi @Akshay_Angadi_]

@JobFound5 I'm interested

[Akshay Angadi @Akshay_Angadi_]

@warikoo A failed person is someone who tells us how to live a life with inversion law. His life teaches us what not to do to succeed.

[Akshay Angadi @Akshay_Angadi_]

@ahuja_priyank PDF

[Priyank Ahuja @ahuja_priyank]

Most people suck at job interviews but not anymore.

I have curated 70 Toughest Interview Question Guide.

I usually sell for $99 but for the next 24 hours it's FREE.

Just:
1. Follow @ahuja_priyank
2. Like & Repost (MUST) to get PDF
3. Comment [PDF]

And I will DM you for FREE

[Akshay Angadi @Akshay_Angadi_]

Day-14/#75daysdataanalysischallenge

Due to a busy day, I can't focus on other things so I continued with yesterday's routine.
️
1. Solved 2 SQL interview questions on the JOIN function.

️2. Solved 2 data analysis interview questions through the ChatGPT agent.

[Akshay Angadi @Akshay_Angadi_]

Day-13/#75daysdataanalysischallenge
️
1. Solved 2 SQL interview questions on the JOIN function.

️2. Solved 2 data analysis interview questions through the ChatGPT agent.

[Akshay Angadi @Akshay_Angadi_]

Day-12/#75daysdataanalysischallenge

Till now I've not focused on Power BI so today I built an e-commerce sales dashboard that analyzes the company's growth through sales.

[Akshay Angadi @Akshay_Angadi_]

Day-11/#75daysdataanalysischallenge

Today I just focused on the Coursera course to complete the full course. On the last day of the course, learned how to work with errors to overcome and alternative approaches to solve the problems.

And learned how to work with large datasets

[Akshay Angadi @Akshay_Angadi_]

Day-10/#75daysdataanalysischallenge

️1. Learned how to work with charts to describe categorical data and different charts for categorical data in statistics series.

️2. In the Coursera course, learned how to extract, transform, analyze, and create new datasets through AI.

[Avi Chawla @_avichawla]

5 most common Pandas ↔ Polars ↔ SQL translations in a single frame.

SQL and Pandas are powerful tools for data scientists to work with data.

Thus, proficiency in both frameworks is extremely valuable to data scientists.

But lately, Polars has also gained much popularity among data scientists.

This is because it addresses many of Pandas' limitations, such as:

- Pandas always adheres to single-core computation → Polars is multi-core.

- Pandas offers no lazy execution → Polars does.

- Pandas creates bulky DataFrames → Polars' DFs are lightweight.

- Pandas is slow on large datasets → Polars is remarkably efficient.

The visual will help you build proficiency in all three frameworks.

👉 Get a Free Data Science PDF (550+ pages) with 320+ posts by subscribing to my daily newsletter today: https://t.co/xILUKooE4I.

👉 Over to you: What other faster alternatives to Pandas are you aware of?

[Akshay Angadi @Akshay_Angadi_]

Day-9/#75daysdataanalysischallenge

️1. In course, learned diff b/w human data analysis & AI analysis. How to build an agent that can help you plan and analyze data.

️2. In the statistics series learned how to work with categorical data and frequency distribution technique.

[Akshay Angadi @Akshay_Angadi_]

Day-8/#75daysdataanalysischallenge

️1. In the statistics series, I learned the basics of statistics and how to do statistics calculations with Google spreadsheets.

️2. Solved 2 questions on data analysis from ChatGPT Agent and earned a score of 6 and 7 out of 10.

[Akshay Angadi @Akshay_Angadi_]

Day-7/#75daysdataanalysischallenge

️1. Learned the execution order of SQL.

2. Solved 2 SQL questions from YouTube to level my problem-solving skills.

️3. Learned ACHIEVE strategy to do data analysis with ChatGPT code Interpreter from the Coursera course.

[Akshay Angadi @Akshay_Angadi_]

Day-6/#75daysdataanalysischallenge✨

1️⃣. Solved 5 logical interview questions On data analysis.

2️⃣. To improve my business acumen, I made a case study on the data industry. Why data analytics and data science jobs are booming and what is the future of the data industry.

[Akshay Angadi @Akshay_Angadi_]

Day-5/ #75daysdataanalysischallenge

Today I did a guided project to brush up my Python skills and made the project on Diwali Sales Analysis. The objective of the project is to increase revenue and improve customer experience.

[Akshay Angadi @Akshay_Angadi_]

Day-4/ #75daysdataanalysischallenge

1. Brushed up my Excel skills from basic to advance.

️2. In statistics course learned different scales of measurement.

3. ️In the Coursera course learned how to do data analysis that cannot produce any other problem and techniques.

[Akshay Angadi @Akshay_Angadi_]

Day-3/ #75daysdataanalysischallenge

️1. In the course learned how to work with different kinds of data.

2. In the statistics series learned how to classify the data.
️
3. Solved two interview questions through ChatGPT interview agent on KPIs and stakeholders.

[Akshay Angadi @Akshay_Angadi_]

Day-2/ #75daysdataanalysischallenge

️1. Solved 2 SQL questions.

️2. Continued with statistics for data analysis and learned types of data, relation between data and statistics, and variables and cases.

3. In the course learned how to do data analysis on structured data.

[Akshay Angadi @Akshay_Angadi_]

Day-1/ #75daysdataanalysischallenge

1. Solved 6 HackerRank basic SQL questions and earned a Golden(5-star) badge.

2. Started learning statistics from scratch.

3. To become an AI-enhanced Data analyst, I took a course from Coursera called ChatGPT Advanced Data Analysis.

[Akshay Angadi @Akshay_Angadi_]

The hierarchy of Leverage from high level to lower level

1. Leverage of code.
2. Leverage of media.
3. Leverage of capital.
4. Leverage of labor.