Learning Path to Become a Data Scientist in 2024

A new year beckons! New resolutions to become a data scientist have to be made! And indeed, things can only get better after the tumultuous ride that’s been 2023? And what better way to end this year and welcome the new one than planning your entire career in one place? That’s right – we are back with the most in-demand learning path in the data science community! Every year, we release the data science learning path, which is viewed and loved by thousands of data science aspirants all around the globe. So, keeping in mind the popular demand, suggestions, and updates, here’s the data science career path for 2024.

The learning path for 2024 is the ultimate and most comprehensive collection of resources put together in a structured manner. This learning path is for anyone wanting to make a data science career. So whether you are a fresher, have a few years of work experience, or are a mid-level professional – this data science learning path is for you.

Are you tired of going through thousands of unstructured resources and trying to make sense? Not anymore. Let’s begin!

What’s the 2024 Data Science Learning Path?

The year 2023 has been a year of turbulence, challenges, unprecedented changes, and loads of innovations. But as we stand on the cusp of a new dawn in 2024, the world of data science beckons with the promise of innovation, growth, and limitless possibilities. So, fasten your seatbelts and get ready to embark on a transformative journey as we unveil the exhilarating features that await you in the 2024 Data Science Learning Path!

1. Extended Storytelling Skills

Storytelling is more of an art than a skill. A good data scientist is someone who can turn insights into action with the help of visualization. You’ll get familiarized with different visualization tools, techniques, and strategies.

2. Model Deployment

It is perhaps the most crucial data science topic left out of most data science courses. Any data science model is essentially wasted unless deployed on an application. This learning path will introduce you to high-quality resources to gain this critical skill.

3. Comprehensive Unsupervised Learning  

Dealing with unstructured data? Unsupervised Learning is the way to go. In this edition of the learning path, we have created a separate module for this topic so that you can perfect it!

4. More Exercises

What’s better than taking up a course just for the sake of it? We have incorporated a high number of exercises and assignments so that you can tickle your brain cells and give a boost to your memory.

5. Added Projects and Jobs section

Projects are an all-powerful way to convert conceptual and theoretical knowledge into practical knowledge. We have introduced a new section of projects and jobs to help you navigate the industry.

Summary of the Data Science Learning Path 2024

The course has been divided monthly where we cover each topic in 1 month.

Data Science Toolkit

It’s the start of your journey to becoming a successful data scientist! Let’s start with the basics! During the course of the first month, you will start your journey in the field of data science and learn about the most common and frequently used data science tools – Python and its libraries such as Pandas, NumPy, Matplolib, and Seaborn. 

Data Visualization

Now that you have a foundation to stand on, we will begin with the most crucial skillset of a data scientist. In the second month of this course, we aim to familiarize you with data visualization tools and techniques like Tableau. This month will also be a starting point of your SQL journey.

Data Exploration

Another month, another challenge! The course for the third month will uncover the hidden data with important information. Bringing out this information in the form of insights is data exploration. This month, you will learn how to explore your data with Exploratory Data Analysis (EDA). Along with this, you will also understand the essential concepts of statistics required to become a data scientist. 

Basics of Machine Learning and the Art of Storytelling

Now, let’s get down to actual machine learning! From this month onwards, you will start your Machine Learning journey. In this month, you will cover basic ML techniques and learn the art of storytelling using Structured thinking. 

Advanced Machine Learning

Now that we are done with the basics, it’s time to turn up the notch! The goal of this month is to cover advanced machine learning algorithms. You will also learn about feature engineering and working with text and image data. 

Unsupervised Machine Learning

Dealing with unstructured data can be challenging, so let’s jump to the solution! This month, you will learn about unsupervised machine learning algorithms like K-Means, Hierarchical Clustering, and finally, a deep dive into a project!

Recommendation Engines

Are you curious how Netflix, Amazon, and Zomato give such excellent recommendations? It is time for you now to delve into recommendation systems. In this month, you will learn different techniques to build recommendation engines. We have also got an exciting project for you, fellas!

Working with Time Series Data

Organizations worldwide depend heavily on time-series data; machine learning has made the scenario even more exciting. During the course of this month, you will learn how to work with Time Series data and different techniques to solve time series-related problems.

Introduction to Deep Learning and Computer Vision

Deep Learning and Computer Vision are at the forefront of the most happening projects in the field of AI, be it self-driven cars, mask detection cameras, and more. From this month onwards, you will start your journey in the field of Deep Learning. You will learn basic deep learning architectures and solve different computer vision projects.

Basics of Natural Language Processing

Do you wonder how social media giants like Twitter, Facebook, and Instagram process incoming text data? This month, the focus will be on the field of Natural Language Processing (NLP). Here, you will learn other deep learning architectures and solve NLP-related projects.

Model Deployment

What is more essential than building a data science model? Deploying it! In this month, you will learn different ways to deploy your models. Furthermore, you’ll get to spend time exploring streamlit for model deployment, AWS, and also get to deploy the model using Flask.

Projects and Jobs

The time has finally come to convert all your hard work into fruition! In the final month, you will do different projects and start applying for internships or jobs.

Final Note

Data Science Learning Path for 2024 stands as a comprehensive guide, paving the way for individuals to thrive in the exciting and ever-evolving field of data science. Aspiring data scientists, whether beginners, mid-level professionals, or those with prior experience, will find value in this learning path. It equips them with the necessary technical skills and instills a practical and project-oriented mindset essential for success in the dynamic field of data science. This meticulously curated program addresses the industry’s evolving landscape, incorporating critical updates and insights to ensure relevance and effectiveness.