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  1. how to become a data specialist

    How to Become a Data Specialist: 3 Steps

    Categories: Data Science

    So, you’re interested in becoming a data specialist. Maybe it’s time for a career change? Perhaps you’ve discovered you have a talent for data organization. Whatever the reason, there’s no better time to enter the world of data analysis.

    Here are the 3 steps between you and a data specialist career:

    1. Complete your education in data analysis.
    2. Develop your data analysis style through work experience.
    3. Continually improve your data skills.

    Data specialist careers are full of potential, rich in opportunities for growth and flexibility.

    Unlike more rigid career paths, data analysis has a career for virtually everyone, no matter your job goals. Here’s how to get started, in four easy steps.

    What is the career path of a data specialist?

    Aspiring data specialists should sign up for formal education, develop their data analysis style and pursue continuing education as data analysis trends change and evolve.

    As an essential part of any organization, data specialists help businesses:

    • Apply data science and data management best practices
    • Use data to make sound strategic decisions
    • Organize data into usable formats for all employees
    • Write algorithm scripts using Python and other programming languages

    Not every data specialist follows the same career path, but most follow similar steps.

    First comes the education — aspiring data specialists will need education in statistics, problem solving, data visualization and other skills. There are a

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  2. how to become a data architect

    How to Become a Data Architect in 5 Steps (with No Experience)

    Categories: Data Science

    One of the most promising careers within the data science world is that of data architect.

    Data architects harness the power of data to make informed, accurate decisions that help them find long-lasting solutions to a wide variety of business challenges and problems. They can work in many different industries, including (but not limited to) healthcare, finance, entertainment and government.

    What is a data architect?

    Data architects are information technology (IT) specialists who define policies, procedures, models and systems for collecting, organizing, analyzing and storing company information. 

    Their exact duties and responsibilities will vary per position and per company, but there are some day-to-day responsibilities you can expect in just about every data architect’s role.

    Some of these duties include:

    • Creating and optimizing systems to ensure data accuracy
    • Implementing data management procedures
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  3. how to become a data scientist

    How to Become a Data Scientist in 5 Steps (with No Experience)

    Categories: Data Science

    Data science is one of the fastest growing fields in the world today — named the sexiest job of the 21st century by Harvard Business Review.

    This rapid industry expansion has resulted in a massive demand for data science professionals, including data scientists. You’re only five steps from becoming a data scientist and earning an estimated $145,000 per year.

    What is a data scientist?

    A data scientist is someone who specializes in analyzing and interpreting different kinds of data. 

    They need a strong background in subjects like mathematics, statistics and computer science. They typically have a curiosity that helps them identify the most effective solutions for different complex problems, and they also possess the technical skills necessary to solve data-related problems.

    There are many different careers within the data science field, each with varying res

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  4. Is a Data Science Bootcamp Worth It

    Are Data Science Bootcamps Worth It?

    Categories: Data Science

    Data science bootcamps are a key factor for success in many aspiring data science professionals’ careers. They offer a combination of skil

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  5. data science career path

    A Practical Guide for A Successful Data Science Career Path

    Categories: Data Science

    One of the biggest differences between successful and unsuccessful companies is how well they use data. There has been a massive shift in recent decades towards analytics and data-driven solutions, which has made data science one of the largest “make or break” factors in the success or failure of modern-day organizations.

    As a result, the data science industry is booming — offering thousands of new careers each year for analysts looking for positions mining, analyzing and identifying trends in corporate data sets. Positions for data scientists alone are expected to grow 36% through 2031, creating an estimated 13,500 new job openings each year.

    Careers in data science: what to know

    Not everyone understands or appreciates how genuinely fun, interesting and rewarding data science careers can be. Data science is an ever-evolving field and constantly expanding industry, one that has become essential for organizations who want to become and remain successful.

    Nowadays, all businesses — big or small, and in all industries — require at least one person (if not a whole team of people) who can deconstruct, comprehend, organize and use data. Wit

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  6. what is data science

    What is Data Science? An Expert’s Guide.

    Categories: Data Science

    With each new technological advancement, the data science industry grows a little wider.

    Data science is one of the most rapidly-growing fields to date, and the number of in-demand career paths only continues to rise with each passing year. It is an essential component for accelerating the growth, transformation and profit of a company in a cost- and time-efficient way.

    The most successful data professionals understand the importance of having a full understanding of the evolving data science world, alongside a skill set that complements the entire data science lifecycle. With well-rounded knowledge of how to capture, maintain, process, analyze and communicate data, data scientists

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  7. top it trends 2023

    Top IT Trends: What to Expect in 2023

    Categories: IT Ops & Management

    Few industries have such a far reach as information technology (IT). No matter what sector you work in, you’re likely affected by computers, software, hardware, and other features of information technology.

    It’s important to stay on top of IT trends as they develop, to make sure your company adapts to any new technical developments.

    What IT trends will define 2023?

    We’ve identified a few of the trends most likely to impact the IT world in the new year. Check those out below.

    Virtual work and play

    If companies are the only ones pushing a particular technology that the general public has no interest in, does that qualify as a trend? Services like Meta’s Metaverse, and virtual shopping options developed by Walmart, are trying to find out. Whatever these digital worlds end up becoming, one thing is certain: they’re nowhere close to giving up. The hype around living in a digital world will continue into 2023, with every small development and change earning global headlines. This is one trend to keep your eye on because there is a lot of money (and we mean a lot) waiting for the person who can figure out how to get everyday people to use these services on a regular basis.

    Artificial Intelligence (including AI art)

    You might have seen the recent news regarding the controversy of AI designs winning art competitions, and being banned from well-known art institutions and websites. This is just the latest in the fast-moving world of artificial intelligence. Don’t be surprised when companies begin to integrate AI-powered technology into every aspect of their work. Considering the break-neck pace of AI development, and the lack of government regulation or laws, nobody can predict where it will stop.

    The great (or scary) thing about AI is that you don’t need to know how to create your own AI structures to find success. Many of the AIs being developed are open-source, meaning you just need to know how t

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  8. How to Get Certified in Information Technology

    Categories: IT Ops & Management

    If you’re looking for a profession that offers job security, fast growth and an ever-expanding base of knowledge and skills, then IT might be perfect for you…

    ...As long as you get the right certification(s). In the IT world, certifications can mean the difference between an entry-level and senior-level position. Certifications can affect where you work, what you’ll do and how much you’ll earn. Before you jump into virtually any IT position, a certification is a must.

    What are the steps to getting certified in IT?

    There are only five steps to get certified in information technology:

    1. Decide what specialty you want to focus on.
    2. Determine your level of expertise.
    3. Find programs that meet your needs.
    4. Narrow your list to the best options.
    5. Complete your course and plan for ongoing education.

    Step 1: Decide what specialty you want to focus on.

    Before you look at different online courses or IT schools and classes, you need to identify what area of IT you want to focus on in your career. This can include anything from database management to artificial intelligence, cybersecurity to cloud networking.

    What about IT is attractive to you? Look into career trajectories and speak with professionals in different branches of IT.

    Step 2: Determine your level of expertise.

    Once you have a good idea of what you want to do in IT, it’s time to consider your own experience. Some courses will expect you to have some understanding of different programming languages. Others will require a basic understanding of data tables and digital literacy. Some, however, will assume you have absolutely no experience and start from square one.

    You don’t want to pay money to re-learn information you already know or learn skills you already learned. Make sure that the IT certification program or programs you find provide instruction that fits with your current level of ex

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