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Data analysis has become one of the hottest jobs around.
More and more companies are looking for expertise in big data, and for those looking to decide on a career change or a college major, big data may be the route to go.
Consider the Following
- Educational Foundation: Obtain a strong educational background in data-related fields.
- Master Statistical Analysis: Develop proficiency in statistical analysis tools and techniques.
- Acquire Programming Skills: Learn programming languages such as Python, R, or SQL.
- Gain Domain Knowledge: Specialize in a particular industry to understand data in context.
- Build a Strong Network: Connect with professionals in the data field for guidance and opportunities.
- Showcase Projects: Create a portfolio of data-driven projects to demonstrate your skills.
- Continuously Learn: Stay updated with the latest trends and technologies in data analytics.
- Develop Problem-Solving Skills: Cultivate a strong analytical mindset to solve complex data problems.
- Communicate Effectively: Learn to present data insights clearly and effectively to non-technical stakeholders.
- Seek Continuous Growth: Embrace new challenges and never stop expanding your data expertise.
What exactly is data analysis?
Data analysis is taking data and examining, inspecting, and using it to provide answers, predict opportunities, find conclusions, and make effective decisions.
Big (and little) companies rely on this to make smart, successful decisions to grow business and maintain successful companies as well as to foresee future needs and opportunities.
Reasoning, problem-solving, and analytical skills are imperative to this field. Whether in-house or outsourced, big data is in high demand by businesses.
Are there openings in a career in this field?
If you’re wondering if there are career openings available in this line of work, Yes!
CNBC calls this “The sexiest job of the 21st century.” With big salaries ready to be had, and plenty of opportunities, it’s definitely a career to consider if analytics is your thing.
Universities are beginning to offer this as a major field of study and experts believe there are really three branches of data analysis, technology, statistics, and creativity.
“Why consider a career in tech? The list of reasons is growing all the time. Technology is a fast-paced, growing industry – with a lot of opportunities for those within it. A career in technology is becoming more and more desirable, especially when you factor in the success of large tech companies such as Google and Apple.” – Consider A Career In Tech
Each area has a definite place in big data, and it takes it all to be the most successful. Usually, a team is required to be successful because of the diversity in the field and all of the necessary components.Unlock the power of data and forge a rewarding career path! Master statistical analysis, programming, and domain knowledge. Build a strong network and showcase your projects. Start your data career journey today! #DataCareer #CareerTips #DataAnalyticsClick To Tweet
According to Emerson College Online, industries are looking for employees with excellent analytic skills in abundance. When you consider the role of these data analysts you probably imagine technology firms first and foremost. However, data is at the centre of many industries today as it helps them to understand their audience at a deeper level. From manufacturing to sales, there is always room for more data analysis in marketing.
What skill set should you have to go into big data?
With the high salary and the big demand, this looks like a great field to enter. But it’s not an easy one. Skill sets are specific, and those that have these qualities might be on their way, but it’s certainly not for everyone.
The biggest skills those wanting to enter the field of data analysis should have are good problem-solving skills, excellent communication skills, and open-mindedness, according to Dr. Andrew Jennings, chief analytics officer at FICO and head of FICO Labs.
So it’s a mix of important skills – you’ve got to be able to not only analyze the data, but you’ve also got to see where it’s going and communicate all of this to your company or clients in ways they can understand and utilize it.
Do you need to be strongly qualified?
Yes, you do.
A lot of people are seeing the openings and demand in this field and are trying to get in. However, the provable skill set is all-important, and the more qualified (meaning Ph.D.s and viable experience) candidates will be the ones getting the positions.
If this sounds like you, go ahead and get into the thriving field of data analysis.
You of all people should be able to foresee the success you can find in this career.