The growing demand for Big Data and analytics has made Data Science a lucrative career option. The high salary packages offered to Data Scientists are encouraging working professionals to make a career switch into Data Science. However, switching a career from one domain to another isn’t an easy task. It sometimes feels like boarding a plane that’s already taking off. However, most of the Data Scientists that we see around have started their career in a different path and made a successful career switch into this field.
Now let’s talk about the skills and in-depth understanding and hands-on knowledge of tools that you require to make a successful career switch into Data Science. Also, let’s analyze challenges that one needs to overcome.
What is Data Science?
Data Science is an interdisciplinary field that combines multiple fields, including Statistics, Programming, Machine Learning, Artificial Intelligence (AI), and several other disciplines. The prime focus of Data Science is to extract actionable insights from large sets of Big Data. Those who are skilled in handling Data Science techniques are known as Data Scientists. These professionals possess multidisciplinary skills and have now become a part of enterprises decision making process.
The data analysis process in this field encompasses techniques like Data Preparation, Data Cleansing, Data Manipulation, Data Modeling, Data Visualization, Predictive Modeling and more. With skills in handling these techniques, Data Scientists are literally capable of playing with Big Data at the tip of their fingers. The applications of Data Science aren’t limited to one particular industry. Data Scientists are being hired in the industries across the verticals.
Technical challenges and how to overcome them
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Brush Up On Math & Programming
You don’t need to be a scholar or have a degree in Mathematics to become a Data Scientist. You need to have skills in Statistics and Probability concepts to a certain extent to handle the complex techniques in analytical techniques in Data Science. Algorithms in Artificial Intelligence require the application of mathematical functions. So, you need to get started by brushing up your Math skills in Linear Algebra and Calculus. You also need to have Probability and Statistical knowledge to conduct statistical analysis and Big Data.
Along with skills in Mathematics, you need to have skills in programming languages. Python and R are among the most extensively used programming tools by Data Scientists. To handle the Machine Learning algorithms that are used in Data Science one needs to have knowledge of programming especially Python. Apart from Python and R, having knowledge of SQL and Bash is also very crucial.
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Become a problem solver
Data Scientists need to be good problem solvers. Creative and logical thinking skills are crucial to solve data related problems. You can only develop creative problem solving and programming skills by working on data in real-time. You can gain knowledge of Data Science algorithms only through practice.
Kelly Technologies Data Science Training in Hyderabad program lets you develop skills in coding using Python, R, JAVA, and SQL by making you work on multiple real-time projects and assignments. You will be working on live data and will be applying your problem-solving skills to obtain solutions to open-ended Data Science projects.
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Join collaborative projects
Having developed skills in programming and algorithms you should start working on some real-time projects. The Data Science community is very large and active and you can find many open source projects and live data. You can also work on collaborative projects that let you learn from others as they learn from you. This way of collaborative learning will not only help you in developing technical skills but will also improve your social connectivity.
Analyzing Potential Challenges & How to Overcome Them?
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Organization & Time Management Skills
When you are planning to make a career shift then you need to create a well-structured plan and set realistic milestones. Ask yourself these questions:
- Are you really passionate about becoming a Data Scientist?
- Should you quit your existing job to learn new skills or continue working in parallel managing both the tasks?
- What are my strengths and weaknesses?
- How much time should I be investing to make a successful career shift and what skills should I be developing?
- What qualifications should I be acquiring for the new career path?
- What is my learning style?
- Is my experience going to be useful? Or should I need to start from the scratch?
Once you attain answers to these questions then organize a daily schedule and set a to-do-list. If your plan doesn’t work out well then don’t be afraid to modify it and keep tracking your progress on a frequent basis.
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Become A Better Communicator
One of the must-have skills sets for to become a Data Scientist is sound communication. After finding insights from Big Data, Data Scientists need effectively communicate their findings with stakeholders. They will be communicating their findings by creating attractive visuals using Data Visualization tools. If you are an introvert and communicating isn’t your cup of tea then you better work on developing your communication skills.
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Build Your Network
Having strong social connectivity will surely help you in your job hunt. Most of the Data Science job opportunities come from an individual’s network. You can build your social connectivity by attending Data Science seminars sessions and boot camps. In these sessions you can find people with similar interests.
Conclusion:
This article on PopularPosting must have given a clear idea of what is Data Science and how to switch into a Data Science career. This is perfect time to develop skills in Data Science. You can be a part of Kelly Technologies advanced Data Science Course in Hyderabad program to develop deep technical expertise in in this field and make a successful career shift. This course is in collaboration with expert Data Scientists who are frontline industry experts. Trainers in this institute will be working with full-fledged commitment to shape their students become fully job-ready Data Scientists. Trainers will also be assisting students in resume preparation and interview scheduling. Post successful completion of this course, students can apply for the Data Science job vacancies across the industry verticals.
