Demand for experts in Data Analytics is growing rapidly. Companies are looking for people with deep expertise in the field of Data Analytics to help them build their products and services.
As a result, Data Analysts are in high demand and command high salaries. According to leading sources, the median salary for a Data Analyst is $84,000 and a senior Data Analyst can earn up to $100,000. Even entry-level positions can command great salaries.
No wonder that interest in a career in Data Analytics is growing rapidly. Explore the resources below to learn more about how to become a Data Analyst.
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.
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science.
Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides.…
Five types of content are in this book: Articles the author wrote, links to his podcast episodes (video & audio), more than 200 links to helpful websites he like, data engineering interview questions and case studies.
It seems like “big data” is in the news every day, as we read the latest examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things. Whether it is used by the NSA to fight terrorism or by online retailers to predict customers’ buying patterns, big data is a revolution occurring around us, in the process of forever changing economics, science, …
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also disc…
Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know whi…
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for…
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 Analytics will help you earn valuable certifications. Our expert mentors can guide you through the certification process and help strengthen your knowledge.
The CompTIA Data+ certification highlights an early career professional’s grasp of data mining, manipulation, visualization, and reporting. This certification is intended for those with one-and-a-half to two years of work experience, and the CompTIA Data+ certification offers the chance for thos…
The IBM Data Analyst Professional Certificate is a flexible online course that prepares those with no prior experience for entry-level data analyst positions. Through eight courses that take approximately 11 months to complete, learners develop a working knowledge of Python, SQL, Excel, and IBM …
Microsoft’s Power BI Data Analyst Associate certification indicates the certification holder’s ability to work with Power BI, an interactive software used to visualize data for business analytics and intelligence. Designed for subject matter experts who already possess an understanding of data p…
The SAS Statistical Business Analyst Professional Certificate is designed for data analysts looking to improve their predictive and statistical modeling abilities in the professional world. Designed for those with prior knowledge of SAS programming, the online certificate takes approximately thr…
You can practice statistical analysis, data management, and programming using industry-standard tools like SQL, Tableau, and Python in Meta's beginner-friendly Data Analyst Professional Certificate. Designed to prepare you for an entry-level role, this self-paced program can be completed in…
Understanding how to work with generative AI tools and leverage the insights they deliver will be increasingly important in the data field. The Microsoft Copilot for Data Science Specialization provides hands-on experience with Microsoft Copilot so you can accelerate your data insights in impact…
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!
Learn more about Data Analytics with our expert advice.
With an average salary of $69,945 per year in the US, data analysis can be a lucrative career for those with strong skills in maths, statistics, and problem-solving. But how do you get a foot in the door? And what if you don’t have a degree or prior work experience?
With an average salary of $69,945 per year in the US, data analysis can be a lucrative career for those with strong skills in maths, statistics, and problem-solving. But how do you get a foot in the door? And what if you don’t have a degree or prior work experience?
We’ve already delivered 1-on-1 mentorship to thousands of students, professionals, managers and executives. Even better, they’ve left an average rating of 4.9 out of 5 for our mentors.
"Naz is an amazing person and a wonderful mentor. She is supportive and knowledgeable with extensive practical experience. Having been a manager at Netflix, she also knows a ton about working with teams at scale. Highly recommended."
"Brandon has been supporting me with a software engineering job hunt and has provided amazing value with his industry knowledge, tips unique to my situation and support as I prepared for my interviews and applications."
"Sandrina helped me improve as an engineer. Looking back, I took a huge step, beyond my expectations."
"Andrii is the best mentor I have ever met. He explains things clearly and helps to solve almost any problem. He taught me so many things about the world of Java in so a short period of time!"
"Greg is literally helping me achieve my dreams. I had very little idea of what I was doing – Greg was the missing piece that offered me down to earth guidance in business."
"Anna really helped me a lot. Her mentoring was very structured, she could answer all my questions and inspired me a lot. I can already see that this has made me even more successful with my agency."
