According to Glassdoor’s list of 50 Best Jobs in America, Data Scientist has been named the best job in America for three years in a row. Five other data analytics and science jobs also made the list including: Analytics Manager, Database Administrator, Data Engineer, Data Analyst, and Business Intelligence Developer. These positions made the list because of the high median wage each job offers and with over 6,000 open jobs, the data science field is growing rapidly.
With so many job opportunities within the data science field, it might not be clear what the difference is between each role. The major difference between a Data Scientist and a Data Analyst is the responsibilities of the job and the skillset needed to perform the job.
3 Differences Between a Data Scientist and a Data Analyst:
- Data analysts focus on developing answers and solutions to questions while data scientists have to use data to formulate questions and decide which solutions are likely to benefit the business.
- Data Scientists are expected to build statistical models and be well-versed in machine-learning and advanced programming while Data Analysts typically work on SQL and simpler structures with other tools.
- Data Analysts only address business problems where as Data Scientists also give an accurate prediction of the value of business once the problem is solved.
To get started in the data science field, you would need to have experience with scraping, analyzing, and presenting data. For more advanced jobs, like Data Scientist, you would also need a background in programming and statistics. If you don’t have any relatable experience, these skills can be developed by enrolling in one of Thinkful’s programs:
The Data Analytics program is for people starting from the very beginning and don’t necessarily have a Bachelor’s degree in a STEM-related field. The program focuses on teaching you how to use different tools like SQL and Tableau, how to scrape data to collect and analyze, how to present that data, and gives you an introduction to Python.
Throughout the course, students will use their skills to build projects based on scenarios built with different types of data. These projects will be graded by a team of mentors to make sure each student knows how to present and articulate how they got to the results. You will also learn how to prepare for interviews and transitioning into a data analyst career through a number of assessments, case study interviews, and behavioral mock interviews.
The Data Science program is for people who already have a background in programming, statistics, or a STEM-related field. The program does a deep dive into Python and its mathematical toolset, statistical analysis, and big data techniques including machine learning. The program gives a personalized approach by allowing students to customize the course by choosing a specialization. Because data science is a highly contextual discipline, students can choose to focus on Advanced NLP, Deep Learning, Time Series, Network Analysis, Biostatistics, Economics or Social Science, or Big Data. By time a student graduates, they will have the full skillset of a professional data scientist.
Both programs are part-time and flexible, which allows you to learn when you want and where you want. However, you would need to dedicated 20-30 hours a week to complete the courses within six months. Each student will be paired with a Program Manager and a Mentor to help keep them on track for graduation.
Thinkful programs use a 1-on-1 mentorship approach for a more effective way to learn. Each student will be paired with a mentor who is an industry expert and is as invested in your success as you are. Students will learn through an online platform as well as have two personal mentor sessions each week. If you’re stuck or have additional questions, you can meet with different mentors during “office hours” offered daily. In addition to 1-on-1 mentoring, there are workshops that breakdown different topics and mentor presentations that cover more in-depth topics.
All of Thinkful’s programs are backed by a job guarantee. If you don’t get a job within six months of graduating, they will refund your tuition. To qualify, students need to have a bachelor’s degree and live in one of the cities listed on our website.
Whether you qualify for the tuition reimbursement guarantee or not, you will still have your own career coach. The Career Services team will help you navigate the job market, apply to positions, and ace your interviews for six months after graduation.