7 Essential Tips to Start a Career as a Data Scientist

1. 7 Essential Tips to Start a Career as a Data Scientist

2. Data science is an umbrella term which covers vast areas of technology from statistics, machine learning, and computer science. Hence, learning data science needs certain plans and decisions to start a career as a data scientist. Before deciding on Python or R, one needs to consider and give a thought to some essential points. • In this blog, we have tried to provide you 7 such essential tips which will surely help you to start a career as a data scientist.

3. Tips1: Select the job role As the data science itself is a broad area, there are many roles which come under the job title - data scientist. • The Data Analyst • The Data Architect • The Data Engineer • The Statistician • The Database Administrator • The Business Analyst • Data and Analytics Manager • A data visualization expert • A machine learning expert

4. Tips 2: Take a course and acquire the required skill sets for the selected role • Once you decide your preferred role, next select the related course to acquire the skill sets. • It’s not about only registering the course; you need to go through the course curriculum along with hand sons, discussions properly. • Moreover, you need to follow related forums to get better ideas on various topics and problem scenarios.

5. Tips 3: Select the tools and languages to learn • Data science has many languages and tools to work with. But of course one can be a jack of all trades. • Hence, go for the language or tool which is best suited for your selected role and course. • There are many GUI based tools don't need any coding experience. Hence, if you are not familiar with any programming language or not comfortable with coding, you can start with any GUI based tool.

6. Tips 4: Put equal stress on theory and practical • Data science is a field where you need more implementation along with knowledge. • Hence, grab the theory and besides that practice hands-on as much as possible. The more you will face the problem scenarios it will make you flexible towards your job role.

7. Tips 5: Join a community for discussions • It is a complex field, and every day you may have to face different problem scenarios which you alone cannot solve. • So, it's better to make a group or join a data science community to participate in discussions on various topics.

8. Tips 6: Follow the blogs • Your course or learning guides are not only the end of your study. Blogs are excellent knowledge hubs as they focus lights from different angles on a single topic. • So, follow popular blogs on data science and machine learning to get up to date knowledge on various topics.

9. Tips 7: Focus on your communication skills • A data scientist must be technically sound as well as have strong communication skill. • This communication skill is not about talking fluently but the ability to articulate the things properly. Hence, practice with peers and follow different interview stories. • Conclusion: Hope the tips mentioned above will help you to progress in your career as a data scientist. • If you are looking for suitable data science course in Bangalore, join Learbay, a pioneer in online Data Science training in Bangalore. • Moreover, you will get additional support in Big data Analytics training in Bangalore from us.

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