Transitioning to Data Science is a smart move as it fetches far higher comparative returns!
Source: India Today
From the above chart, we can see that transitioning from a marketing analytics job to a data science job leads to a 37% salary growth on average & can go up to 120% for experienced professionals.
Similar to this, a 31% on average salary growth is anticipated when workers move from digital analytics to data science. The pay increase might be as much as 44% for someone switching from a data engineering position to a data science position.
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Here are some steps that you can take to enter the sexist job of the 21st century!
- Revise Basic Maths & Statistics:
A mathematical model is the basis of the majority of AI and ML algorithms. In addition, an understanding of probability and statistics is necessary for statistical analysis and model evaluation. Therefore, it's great if you review these abilities to get the most out of data science.
- Learn To Blend Technical & Non-Technical Communication:
For a data scientist to succeed, being able to explain technical concepts to both non-technical and technical audiences is essential. If you can't communicate your model to others and persuade them to adopt and believe it, all the effort you put into developing the most precise model will be for naught.
- Start With Honing Your Programming Skills:
Excel is a pretty good starting point. Data science does, however, require familiarity with Python or R programming. It's preferable if you also learn how to use SQL to manipulate and query databases in addition to this.
- Be A Logical-Thinker and A Problem Solver:
Data science involves the capacity to address challenges using innovative and logical thinking. To improve your problem-solving abilities, try putting some Kaggle tasks into practice.
- Learn The Art Of Data Visualization:
Learning how to use Data Visualization tools is one of the smart moves you can make! Power BI can be a great tool to start with.
- Use Your Past Work Experience To Your Advantage:
Take on a data science position that enables you to use your current abilities and allows you to expand your understanding of the new field. Keep an open mind to new chances and endeavors to put whatever data science-related abilities you have acquired to use.
- Certification:
A certificate can increase your annual earnings by anywhere between 13 and 25%, according to Forbes. As a result, dedicating just 4-5 hours per week to gaining expertise in Data Science and Machine Learning will yield compounding benefits over time, enabling workers to broaden their employment options.
Note: You should check out the AltUni Certificate Program in Data Science, where you get to learn in-depth concepts & tools from industry experts, work on a live industry project & stand a chance to interview for full-time positions with AltUni's industry partners.
Hiring managers seek several key traits to hire a potential candidate, so, what are the characteristics that they look for in a data scientist? According to the experts, the best Data Scientists are
- Skilled:
All the data in the world won’t amount to much if the professional analyzing it lacks technical skills & doesn’t know his/her way around the data tool. Another essential quality is the capacity to confidently synthesize and manipulate a variety of data sets is demonstrated by having a strong foundation in mathematics and statistics.
- Fast Learners:
Data scientists never stop learning, especially when they work in a highly technological industry where new tools are always being developed and existing ones are being enhanced.
- Problem-Solvers:
One way to stand out is to recognize issues within the company or preferred remedies while also coming up with your own. Regardless of the position, they should challenge anything that seems ineffective to them. Keeping up with the recent developments in the industry & speaking with the stakeholders to determine their pain spots is the best course of action.
- Business Savvy:
Although being able to code is one of the requirements for any Data Scientist, it is also crucial to comprehend and apply code to the business and its objectives. You can code more effectively if you fully understand the task at hand and how it relates to the business.
- Entrepreneurial:
Data scientists inspire innovation throughout organizations. One candidate may stand out among the others due to their inherent curiosity, excitement, and capacity to turn data into a product.
AltUni's Certificate Program in Data Science in collaboration with FlexiLoans is exactly what you need to develop the skill set needed to break into the world of data science. The program is intended for both recent graduates and professionals who want to advance their careers in the data domain.
How Does It Help You Become A Successful Data Scientist?
- Learn core concepts like Analytics In BFSI & Retail, Advanced Data Science With R & Python, Data Visualization With Power BI, & more.
- In-Depth curriculum - A total of 100+ hours of live & recorded learning content from top industry experts from Pure Storage, Commonwealth Bank, Dell Tech, etc.
- Real-Time Application - Apply your learnings in a live industry project with FlexiLoans that will give you industry exposure & add value to your CV.
- Master in-demand tools like Power BI, MySQL, Excel, R, Python - NumPy, Pandas, Matplotlib/ Seaborn.
- Stand a chance to interview for full-time positions with AltUni's industry partners.
- Benefit from AltUni Career Services like job search assistance, 1-on-1 live sessions for CV editing, mock interview, and career coaching.
- Get FREE Access to Klub AltUni - 2000+ AltUni Alumni, 60+ Industry Partners, 250+ Mentors Across The Globe.
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