Roadmap for a successful data scientist career path Final

1. ROADMAP FOR A SUCCESSFUL CAREER PATH DATA SCIENTIST 3

2. Students and young professionals seeking a career in the Data Science industry must be confident in their choice. The data science technology has emerged as a game changer transforming the way important business decisions are taken. Not only that, it has been widely used across industries to enhance their business operations, and profitability, identify upcoming trends as well as enhance their consumer experiences. There are different job roles in the field of data science. In this post, we will guide you step by step on how to make a successful data scientist career. Why choose a career in data science? – Job Outlook According to Markets and Markets, the data science market size is growing at a CAGR of 27.7% to hit a market value of $322.9 billion from 2021-2026. So, there is going to be a huge opportunity for data science professionals in the coming years. Also, the World Economic Forum has labeled data science jobs as the fifth fastest-growing job in 2023. The data science domain also offers lucrative salary packages. As mentioned in Glassdoor, the average annual take-home salary of data scientists in the US is $1, 43,674, much higher than the average salary of other professions. Therefore, choosing a data science career is one of the best decisions you can make. Qualifications and Skills required for data science professionals Data Science is one of the most technical jobs available in the market but the performance of data science roles doesn’t only depend on technical skills. The pre-requisite for becoming a data scientist is as follows: Required Educational Qualification: ▪ ▪ ▪ Bachelor's or Master’s degree in data science, computer science, statistics, or mathematics Data Science Boot Camp certificate Online data science certification, courses, or tutorials in data science Though formal education is not strictly mandatory, having a strong foundation in computer science, mathematics, and statistics is recommended. Apart from these educational qualifications, Data Scientists must also possess the necessary skills and experience. 3

3. Skills Required by Data Scientists • • • • • • • Programming languages such as Python, R, and SQL Statistical analysis and machine learning Data visualization Data mining and data cleaning Cloud computing platforms such as AWS, Azure, and GCP Communication and presentation skills Domain and business knowledge Step-by-step process to become a Data Scientist Now let us have a look at the step-by-step roadmap to Data Scientist career path. STEP 1 01 Acquire the relevant educational qualification as discussed above 02 Gain the necessary data science skills and expertise. You can learn these skills via online data science certification programs, boot camps, online courses, graduate certification courses, etc. STEP 2 03 STEP 3 Gain practical knowledge and build a strong portfolio of real-world data science projects. You can gain practical experience from internships, competitions, self-projects, capstone projects, etc. STEP 4 04 Start networking with professionals from the same domain. Start reaching out through LinkedIn, and online communities, meet them personally, and find ways to communicate with them. Start early and grab the available opportunity. Once you have the relevant qualifications, skills, and portfolio, start with your job hunt, grab the best opportunity you get in the market, and start your data science career. Keep on learning and upgrading your skills, and you will find yourself climbing up the ladder to become a successful data scientist. STEP 5 05 3

4. If you are already working in the IT industry or a different industry, then also, you can also choose to switch your career to the data science career path. In that case, you must meet the following requirements • • Knowledge of the programming languages such as Python, SQL, R, etc. Work experience of at least 0-2 years. If work experience is related to the STEM field, then it will be an added advantage Data Science certification that validates your skills and knowledge in the field of data science, increases your chance of employability and can help you earn higher salaries up to 50%. • Best Data Science Certification programs to start a career in Data Science Here are some of the best data science certification programs that you can consider to start your career in data science: Certified Data Science Professional (CDSP™) – USDSI® Professional Certificate in Data Science and Analytics – MIT xPRO IBM Data Science Professional Certificate Professional Certificate in Data Science – Harvard University Google Data Analytics Professional Certificate These are some of the highly popular data science certification programs recognized globally across industries. There are several tools and vendor-specific certification programs such as Microsoft Azure, AWS, etc. that you can consider too. 3

5. Conclusion Data Science is an interesting field that offers great career opportunities and growth prospects as well. Data Science professionals enjoy their work and get huge salary packages as well. So, if you plan to get into a data science career, this roadmap will definitely help you start your career in this domain and advance ahead. We recommend getting certified by top data science certification programs, learning the required skills, and giving yourself an edge. With the right skills and expertise and a bunch of real-world projects in your portfolio, you can easily land your first data science job. So get started. 3

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