Let’s start-- here’s why and how you can become a data analyst.
1 - Starting is easy
Data Analytics. Those words actually explain the relationship of coding frameworks including Java, C, or Scala, Python. Nothing will take the place of these for people skilled in them who can create solutions to make a breakthrough.
No matter your current career, having a proclivity for getting results and creating a solution makes it simple and enjoyable to learn new coding languages that employers are desperate to hire for. Specializing in these coding languages will increase job prospects.
What you should takeaway
The internet not only has tons of information on these skills but plenty of certification programs, as well as an endless amount of people who know the importance of, and want to increase their knowledge of, Big Data. Learn to use apache, operate and manage Linux from the command line, learn Hadoop, and the data specific R language. Learn the basics of OOPS and Java. Expand your mind and problem-solving skills with these languages.
Tuturialspoint is the best place to find tutorials and resources on Analytics and Big Data while learning the most up to date information on Hadoop and R.
2 - The Most In-Demand Profession
Struggling to find qualified professionals with quality experience. Seventy-five percent of IoT employers are looking for workers. Big Data isn't going anywhere, it is only going to be in more demand as we connect more with the internet and interface with various devices in new and complicated ways.
In 2018 and years to come, the above facts and figures show the growth in this industry, it shows the opportunity to create a long-lasting, interesting, high paying career.
What to takeaway
There are 3 major types of Data Analytics jobs available, and they are as follows: Predictive Analytics, Prescriptive Analytics, and descriptive statistics. Choosing a niche and specializing will create an advantage over other hopeful employees.
3 - Domain Opportunities/Multi-industry
Popular companies like the Oracle Corporation, Microsoft, EMC, Software AG, IBM, Dell and HP have a greater than 15 billion investment into analytics data management creating an instant increase in demand for workers with Big Data skills. Workers are needed for all aspects of analytics. Creating a job scarcity that you need to fill.
Healthcare, education, manufacturing, real estate and retail all benefit from Big Data Analytics. Creating money saving, profit adding solutions, also allows for objective data-based decision making throughout a myriad of industries. Matching your skills with industries that interest you allows you to use your specialized skills in an environment that you favor.
4 -Salaries are competitive
2018 shows that the top five IT jobs are in the field of analytics. The median salary for a data architect is $122,000. It's $109,000 for data managers, and engineers are at $105,000. The focus moving towards Big Data has created more high paying jobs taking the emphasis away from generic coding and web development.
Younger people having grown up in the fact checking world of Google are more logically nurtured by nature. They are often good with technology from an early age. They grow up in education environments that focus on communication and group work. These young people are perfect for the field of Big Data where salaries are high, occupational outlook is high and quality of life is even higher.
5 - Techniques and Tools for Data Science
Those with a background in statistics and math can easily move over to a Big Data career. Focusing on applied statistics real analysis, numerical analysis, and linear algebra will aid in becoming great in this field.
To stay ahead of Big Data may require a computer science degree with coding skills in python, SQL and hive. Some enter Big Data from purely a mathematical background, but coding skills are needed.
6 - Customer Relationship/Enhance Retailer
Removing the in the dark guesswork by having real data allows for better decision making and better insights into customer behavior. B2B businesses are a perfect fit for Big Data Analytics. User-driven experiences, fluid environments bespoke to the user, and evidence-based segmentation are all the drivers of Big Data for large and small businesses looking for an edge to improve customer relationship by providing what customers need, want and will likely desire.
Creating customer loyalty, by using specific data and personalizing marketing tactics will help brands operate in the light of data creating immediate value and long-term relationships of value exchange.
7 - Authority
Your analysis and solutions will be based on data, knowing what works and doesn't work. Gaining insights into the elements that make a business tick, and customers respond. A service that all businesses are looking for.
You, a key member, providing an organization with performance analysis will have a seat with top level executives. Such executives will depend on your knowledge to make important choices about their business and their future.
If you’re interested in this career, then read this post on Harnham US.
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