Get Promoted to Senior Data Scientist: Your Step By Step Guide
Practical tips on how to position yourself for a promotion to senior data scientist, including experience, networking, and ways to demonstrate your skills.
Demand for experts in Data Science is growing rapidly. Companies are looking for people with deep expertise in the field of Data Science to help them build their products and services.
As a result, Data Scientists are in high demand and command high salaries. According to leading sources, the median salary for a Data Scientist is $120,000 and a senior Data Scientist can earn up to $140,000. Even entry-level positions can command great salaries.
No wonder that interest in a career in Data Science is growing rapidly. Explore the resources below to learn more about how to become a Data Scientist.
A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.
These are our and our experts top picks to get started building career-relevant skills.
ISL is a fundamental book and popular amongst undergrad and grad students for its clarity and simplicity with explaining concepts. The math required to understand the book is kept to a minimum, making it unique in its format.
Statistical methods are a key part of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it's important; learn how to calcul…
This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience. Determine the appropriate type of graph for your situation.
In a way, data science has become humanity’s sixth sense. Yet it’s also probably the sense the average person understands the least. So for anyone hoping to learn more, we asked three experts to recommend their favorite data science books from introductory overviews to more advanced content on deep learning, bias in algorithms and more. The resulting reading list includes data science books co…
These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.
Our experts recommend these courses, from free selections to paid programs.
Mastering the fundamentals of Data Science will help you earn valuable certifications. Our expert mentors can guide you through the certification process and help strengthen your knowledge.
SDS™ is the world’s most powerful credential for professionally accomplished data science professionals who aspire to stamp their data leadership potential and showcase their knowledge at the forefront of data science innovation.
Prices start at $850.
As a seasoned leader transforming businesses through data analytics and intelligence, the PDS™ certification recognizes your strategic influence and ability to drive innovation. Elevate your professional stature with a credential designed for high-level technology executives and thought leaders.…
The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate da…
As a candidate for this certification, you should have subject matter expertise in applying data science and machine learning to implement and run machine learning workloads on Azure.
Your responsibilities for this role include:
Designing and creating a suitable working environme…
SAS Certified Data Scientists have demonstrated the ability to manipulate and gain insights from data with a variety of SAS and open-source tools, make business recommendations with complex machine learning models, and deploy models at scale using the flexible, robust SAS environment. Competency…
The Open Group Open Certified Data Scientist (Open CDS) certification is the industry's most comprehensive certification available for Data Scientists and the organizations that employ them. Open CDS is an independent global certification for qualifying the skills, knowledge, and experience…
There is no better source of accountability and motivation than having a personal mentor. What used to be impossible to find is now just two clicks away! All mentors are vetted & hands-on!
Key articles and posts of industry experts can help you get a better picture of what you are getting into.
In our opinion, these are some must-reads you really shouldn't miss.
Andrej Karpathy is the Director of AI at Tesla. Before that, though, he authored this blog post in 2017 talking about Deep Learning as "Software 2.0" of some sort. A must-read if you ever want to have another way of thinking about ML.
In the end, advancing your career is all about getting the right opportunities at the right time and a good portion of luck.
These are some interesting things going on in the Data Science space and you probably don't want to miss them.
It wouldn't be the first time I've seen someone get hired over good Kaggle results! Kaggle competitions are data science and ML projects that are graded through a public leaderboard. A good place on the leaderboard shows that you know your craft and can apply your knowledge to real-life problems!
The world thrives on open-source software and this is no exception. Core contributors to core libraries and fast-growing tech like React, scikit-learn, Bitcoin and TensorFlow prove their abilities by going into the inner workings of a framework to improve it. For many companies, that's a desirable skill!
These projects are always looking for fresh faces. Grab an issue from the issue board or review a PR to get started!
Learn more about Data Science with our expert advice.
Practical tips on how to position yourself for a promotion to senior data scientist, including experience, networking, and ways to demonstrate your skills.
Understanding the basics of regular expressions is essential for any data scientist. In this blog post, we'll cover the fundamentals of regex and how to use them in data science applications.
Many data scientist positions require a Masters or PhD degree. What is really necessary?
This is my personal story on transitioning from academia as a Physicist to industry as a Data Scientist. If you are on the same boat and want to know the process and every step in the way, this note is for you. I hope you enjoy and find it useful for your career growth.
Data Science is one of the most trending career paths right now, but it’s also one of the most competitive ones to get into. With hundreds of master students and PhDs entering the workforce every year, career changers and starters may get discouraged.
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