Hello everyone!

My name is Karan Shingde and I am a learning Data Science and Machine Learning, Artificial Intelligence enthusiast.

Welcome to my first blog📝

So, what is the purpose of this blog? Well frankly I don't have an experience like other data scientist and also not having industry experience but I am going to explain my journey (for the beginners) and what I learnt as beginner. Also, I can help you to figure out which steps you must take to enter in this field. We all knew that learning data science means learning and getting fimilar too much things at once, isn't it?

First of all let me clear some famous terms regarding to these fields. What is Data Science? What is Machine Learning? And what about artificial intelligence?

Let's understand this term by definition

• Artificial intelligence (AI): It is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment.

• Data Science: Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.

• Machine Learning: Machine learning is the study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.

AI is the domain and Machine Learning (ML) is the sub domain of this field. Data Science is heavily dependent on data(structured or unstructured) from which we can predict future values from this data, check this above list which are the use cases of this field.

• Stock Price Prediction
• Sales Prediction
• Recommendation System
• Credit Card Fraud Detection
• Sales Insights of Market
• Disease Prediction

These are some of the use cases where data science has been used. Wait! There thousands of use caes it's all depend on DATA.

"Hey Karan, stop telling us about this theoretical and basic concepts we are looking for a roadmap." I know you all are waiting for roadmap or something like steps to become data scientist. Okay! Look at the following steps that are essential to become Data Scientist.

Let's go from sequence:

1. Python🐍
2. SQL🗂️
3. Statistics📊
4. Mathematics 🔢
5. Excel📃
6. Python Libraries 📚
7. Machine Learning Algorithms
8. Deep Learning Algorithms
9. Natural Language Processing
10. Computer Vision
11. Visualization tools(Tableau/PowerBI)

Okay, that's it for now. In the upcoming posts I'll share you the best way to learn science and some of the best sources for beginners. See you later✌️

"Goal without time management is just a dream."