Many reputable companies post 6-figure data science jobs for freshers daily. But only a few people got to know about those jobs and can crack it.
If you are thinking of moving to the data science field, have just completed your data science course, and are looking for a job or are finding it difficult to crack a data science job, then this blog gives you insights on the skills you should learn, what to do to get into this field and crack Data Science Jobs, also how to find a high-paid data science job.
Develop Data Science Skills First
Before knowing which skills to learn to get a job, let’s know data science is a vast field with multiple job roles. Each job role requires different skills and years of experience which I have mentioned below.
Data Analyst
One of the best roles to start your data science journey is a Data Analyst. For this, your first step is to learn programming.
Don’t worry about the word programming! Because instead of learning coding, which takes years to learn. Non-IT professionals or those who don’t know anything about coding can start with a programming language that is super easy to learn.
Here are the tools you need to learn to become a Data Analyst.
- Python or R ( I would suggest learning Python because it has an 80% market acceptance rate)
- Python libraries like Numpy and Pandas to import, clean, and analyze the data.
- MS SQL server to import data from other devices to your laptop and then read and analyze it.
- Microsoft Power BI to convert data into an interactive dashboard.
- Matplotlib and Seaborn for data visualization in a graph form.
Power BI Developer
Power BI is also known as a client-side tool which means this tool can be opened on a phone and a laptop.
To become a Power BI Developer, you need to learn tools such as,
- MS SQL Server
- Power BI
Power BI developer uses this tool for reporting with the usage of its interactive dashboard.
Data Engineer
Data engineer helps data scientists and data analysts by providing them with meaningful information from the raw material.
To become a data engineer you need to master tools such as,
- Python and its libraries
- MS SQL Server
- Azure Data Factory
Big Data Engineer/Analyst
A big data engineer/analyst analyzes a large volume of collected data to bring out meaningful insights.
Tools used by a big data engineer are as
- Azure Data Factory
- Python and its libraries
- MS SQL Server
- PySpark
- Databricks
Data Scientist
A Data Scientist is the CEO of data science. This role requires 5-6 years and a skill set to handle the hardest problematic situations.
Tools that a data scientist should know are
- Azure Data Factory
- Python and its libraries
- MS SQL Server
- PySpark
- Databricks
- Scikit-learn
A data scientist works with other Data Analysts, and Engineers to make sure business goals are achieved.
Data Science Jobs Opportunities and Earning Potential (6-Figures)
When you search on Google, you see several data science jobs for freshers. However, finding data science jobs with a 6-figure income is difficult or even time-consuming.
No worries! I have a solution for this. By following the below-mentioned steps you can find high-paying jobs.
Job Search Strategies for Freshers
- Select companies where you want to work: Work there where you think that this company will pay you well and have opportunities for learning and growth.
- Attend career fairs and recruitment events: Take advantage of opportunities to meet recruiters and hiring managers face-to-face to make a memorable impression and learn about potential job opportunities.
- Utilize online job boards and career websites: Explore job opportunities on platforms like LinkedIn, Indeed, Shine, and Glassdoor to discover openings at your preferred companies.
- Network effectively: Build connections with professionals in your desired industry through networking events, social media, and informational interviews.
Do Internships / Practical Projects
Only learning will not help you get a data science job. You need to work on projects to demonstrate your practical knowledge. Your income depends on the magnitude of the problems you can solve; the larger the problem, the greater the potential for high earnings.
There are multiple ways to get practical experience.
- You can pick up online practical projects based on the skills you learned.
- You can also do internships, if possible (some companies require an interview process for internship).
Tip: Search on different job portals like Linkedin, Indeed, Naukri, Glassdoor, etc.
- You can also check out online courses that offer internships with practical projects.
- Search for freelance opportunities where you can work on data science projects for an organization.
- Last but not least, if you are unable to follow the above-mentioned tips, find real-world problems that interest you and apply your knowledge to solve them.
Showcase your certificates in your resume. Build your portfolio too to show them the projects you worked on to get best Data Science Jobs.
Recommended Read: Data Science Certification Course Online
To let your search end here, you can check out Console Flare’s data science courses to work on practical projects like DP- 900, PWC, Accenture, etc. You will also be certified with a Microsoft Certification.
In conclusion, entering the data science field is rewarding, with the right skills and strategies, freshers or non-IT professionals can land lucrative opportunities. Tools like Python, SQL, and Power BI, along with gaining practical experience through internships and projects, can significantly enhance your chances of success. Additionally, employing effective job search strategies, networking, and showcasing your practical skills and certifications can open doors to high-paying data science jobs.
