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Live your Data Analytics goals: Data Analytics Skills, Certification and Support.

If you’re thinking about pursuing a career in Data Analytics, but don’t know where to start, here’s your guide. MyDash LLC has compiled 5 data skills as well the certification for Data Analytics that will give you a big edge over other candidates, so read on to take your first step into a professional and fulfilling career with as little investment as possible. 

What is Data Analytics?

Data analytics is the process of using data to help make decisions. It is a rapidly growing field that is used in many different industries.

Some of the areas where data analytics is used include finance, retail, health care, and manufacturing. Data analytics is used to find patterns in data and use that information to make decisions. Data analytics has deep roots in business, science and technology and it is the best tool if you want to learn how to analyse data. It also includes many more subfields like animation analytics, practice design, privacy management, health data mining and databases as well as online video analytics.While all industries are increasingly adopting data-driven decision making to improve how they operate, it is in the financial sector where companies derive the greatest rewards by capitalizing on data analysis.

What is a Certification for Data Analytics? 

Certifications for data analytics are becoming more and more popular. There are three main types of data analytics certifications you need to know about: 

Certified Data Analyst (CDA): 

The CDA certification is the most basic certification for data analysts. It is offered by the Database Society and requires only two exams: one focusing on business intelligence tools and one on data analysis techniques. 

Certified Information Systems Security Professional (CISSP): 

The CISSP certification is a more specialized certification for information security professionals. It requires five exams, including three in security administration and two in information systems security. 

Certified Advanced Analytics Professional (CAAP): 

The CAAP certification is designed for experts in big data and analytics. It requires four exams, including one focused on big data modeling and three in advanced analytics topics.

Is there a difference between the different types of Certifications in Data Analytics?

There can be a big difference between the different types of data analytics certifications out there, but what does that mean for you? Here, we’ll explore the three types of data analytics certifications and explain what they are good for.

Types of Data Analytics Certifications

The main types of data analytics certifications: those that teach you how to use specific software tools, those that teach you statistics, and those that teach you principles behind data analysis.

Software Tool Certifications 

These types of certificates teach you how to use a specific software tool. For example, the certification from SAS teaches you how to use their software tool. This is useful if you want to work in a field where you need to use a particular software tool, or if you want to become self-sufficient in using that tool.

Statistics Certifications 

Statistics certification courses teach you how to use statistics on data. This can be useful if you want to work in fields where statistics are used (such as finance), or if you want to become self-sufficient in using statistics.

What are the 5 skills for success in Data Analytics? 

We have done an awesome (for you) of providing different high-level skills necessary for your success.

Data analytics is one of the most in-demand careers right now. The skills that you need to succeed in this field vary somewhat depending on the specific area of data analytics, but there are some common skills that are critical for any data analyst.

1. Technical Data Analytics Skills:

Data analytics relies heavily on computer programming and statistics. You need to have strong technical skills if you want to be successful in this field. You will need to be comfortable working with software programs like SQL, Python, and SAS, as well as statistical software like SPSS.

2. Organizational Data Analytics Skills: 

A data analyst needs excellent organizational skills if they want to be successful in their career. They need to be able to quickly analyze data and understand how it impacts business decisions. They also need to be able to work well under pressure and keep track of multiple tasks at once.

3. Critical Thinking Skills: 

Data analysts need to be able to think critically and analytically when they are working with data. They need to be able to quickly identify patterns and solve complex problems.

4. Communications Skills: 

A data analyst needs good communication skills if they want to build strong relationships with their colleagues and clients. They need to be able to work effectively with different team members and maintain high quality of service

5. Attention to Detail: 

Data analysts are asked to scrutinize all the various numbers and to try and find patterns in data. A lot of detail needs to be worked out when analyzing a very large amount of data that is in spreadsheet format. Being detail oriented is one of the most important skills that a data analyst needs because it helps them search for trends with their measures and performances in order to formulate appropriate strategies.

Final Thought

If you're interested in a career in data analytics, there are a few skills that you'll need to develop. In this article, we've outlined some of the most important skills for success in data analytics. By acquiring these skills and brushing up on your knowledge of them, you'll be well on your way to securing a position in the field. If you have any questions or concerns about what it takes to succeed as a data analyst, don't hesitate to reach out to our team at MyDash. We would be happy to chat with you about what steps you can take next towards achieving your career goals.

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