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How to become a Data Scientist? (List of resources)

Many tools, courses, are available to learn data science, but all these are pretty messy, we have curated the list of 8 things to learn first.

Table Of Contents

Resources Breakdown

Who is a Data Scientist?

Data Scientists, typical background (Level of education)

Takeaways

Steps to follow to become a Data Scientist

Get good at Math, Stats and Machine Learning

Learn to Code

Understand Databases

Master Data Munging, visualization and reporting

Step up with Big Data

Get experience, practice and connect with fellow data scientists

Internship, Bootcamp…

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Visualizing the abstract topics in the PM speeches

Visualizing the abstract topics in the PM speeches

Believe nothing merely because you have been told it, or because it is traditional or because you yourselves have imagined it. Do not believe what your teacher tells you merely out of respect for your teacher. But whatever after due consideration and analysis you find be conductive to the good, the benefit, the welfare of all beings, that doctrine, believe and cling to and make it as your guide.

–…

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Automated EDA at best using Python and R

Analyzing data is a hectic task and takes around 40% effort of the project into EDA, but it cannot be eliminated. Python and R provides some open-source modules that can help automate the whole process of EDA and save your time for model fine tuning.

Introduction

When talking about Data Science, working on a project, few things come to mind. Understanding the problem statement, what type of data do we have and what are the process to follow in order to achieve the desired result. For the end goal, we follow an approach commonly known as Data Science Lifecycle. The process consists of different layer, and one such layer is

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Free resources every data scientist should know

It can be daunting at time to look for resources to cater one's learning path into Data Science domain, especially for beginners. This article runs down the free resources every data scientist should start know and start using today.

Nearly more than two years ago, when I graduated from college, becoming an engineer. I started my careers at a 8 person Ed-Tech startup. The whole idea of the role was to create data science product in terms of learning solution for paid professionals focused on to Data Analysis, Machine Learning and AI. Although I studied civil engineering in college and worked on Data Science…

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Understanding business through lens of Data Science

Understanding business through the lens of Data Science

The Business Framework

When talking about Data Scientist, what are the things usually coming to our minds, like someone understanding the mathematics behind an algorithm, talking about deep learning terminologies like Tensor Flow, keras, PyTorch, having mastery in statistical concepts. These are undoubtedly the prime focus and are very much important. But in hindsight many…

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Introduction to Data Science | TechnoGram

In the year 2008, when the term “Data Scientist” turned into a popular expression, followed by 3 years after the fact when the activity advertised worldwide had its job listings expanded by 15,000%. It was all event in the 21st century when the world entered the era of big data. The ventures were concentrating for the most part on building solutions to make their life simpler which prompted to data diversity. Be that as it may, not long after they began having plethora of data, the agony point was the means by which to store it and Hadoop came to rescue in the year 2006. Once Hadoop and different systems effectively tackled the issue of capacity, they pivoted to the data processing and Data Science was the mystery ingredient here.

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Mathematics for Data Science: Key topics to master

Mathematics for Data Science: Key topics to master

It can be daunting at times to learn the theory backing data science or machine learning, as it involves mathematics and tons of different resources.

To quote, “Mathematics is the basis of any modern area of science“. All methods of contemporary Data science, machine learning or deep learning have it underneath them.

In this article, last part of “Data Science from scratch“, my…

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Introduction to Data science | A guide for beginners

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Software Engineering in Data Science

Software Engineering in Data Science

Software engineering has started to converge into field of machine learning when the focus shifts more into data science applications as product, something like building recommender system, chatbots etc. Data scientists are being asked to take care of deployment and production, and software engineers are being asked to expand their skill set to include data modeling.

In this blog,…

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Hey folks,

I have started writing my experience and learning in the field of Data science, to enlighten the community and do my part imparting valuable insights making learning accessible to one and all.

Visit my website and have a look at my blogs and let me know your take on this.