Data Analytics Certification and Training Courses

Overview



Data Analytics is the process of collecting, organizing, and analyzing data to gain insights and make better decisions. It is used in many industries, such as healthcare, finance, and retail, to gain insights into customer behavior, market trends, and operational efficiency. Major vendors for data analytics technology include Microsoft, IBM, Oracle, SAP, and Tableau. These vendors provide software and services to help organizations collect, store, and analyze data. They also provide tools to help organizations visualize and interpret data, as well as create predictive models.

About Data Analytics Training and Certification Courses


Data Analytics training and Certification Courses provide individuals with the skills and knowledge to analyze data and make informed decisions. These courses cover topics such as data mining, machine learning, predictive analytics, and data visualization. They also provide hands-on experience with tools such as Excel, Tableau, and R. Certification courses provide a comprehensive understanding of data analytics and help individuals become certified data analysts.
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Prerequisites for Data Analytics Certifications


• Knowledge of basic statistics
• Understanding of data mining techniques
• Familiarity with programming languages such as Python, R, and SQL
• Ability to interpret data and draw meaningful conclusions
• Understanding of data visualization tools such as Tableau and Power BI
• Knowledge of machine learning algorithms and techniques

Who should take Data Analytics Certification Training Courses?


• Professionals looking to gain expertise in data analytics
• Students who want to pursue a career in data analytics
• Business analysts who want to gain insights from data
• IT professionals who want to learn data analytics
• Business owners who want to use data to make better decisions

Skills Earned by Individuals after Completing Data Analytics Training and Certification Courses


1. Data Analysis: Ability to analyze data sets, identify patterns, and draw meaningful conclusions.
2. Data Visualization: Ability to create visual representations of data to help identify trends and patterns.
3. Statistical Analysis: Ability to use statistical methods to analyze data and draw conclusions.
4. Machine Learning: Ability to use algorithms to identify patterns in data and make predictions.
5. Data Mining: Ability to extract data from various sources and use it to create insights.
6. Database Management: Ability to create, manage, and maintain databases.
7. Programming: Ability to write code to manipulate data and create applications.
8. Business Intelligence: Ability to use data to inform business decisions.
9. Project Management: Ability to manage data analytics projects from start to finish.
10. Communication: Ability to effectively communicate data analytics results to stakeholders.

Reasons to Choose Koenig Solutions for Data Analytics Courses


Benefits of Choosing Koenig Solutions for Data Analytics Training:
• Certified Instructor: Koenig Solutions provides certified instructors to ensure quality training.
• Boost Your Career: Koenig Solutions offers customized training programs to help you boost your career.
• Customized Training Programs: Koenig Solutions offers customized training programs to meet your specific needs.
• Destination Training: Koenig Solutions provides destination training to help you learn in a comfortable environment.
• Affordable Pricing: Koenig Solutions offers affordable pricing to make training accessible to everyone.
• Top Training Institute: Koenig Solutions is a top training institute with a wide range of courses.
• Flexible Dates: Koenig Solutions offers flexible dates to accommodate your schedule.
• Instructor-Led Online Training: Koenig Solutions provides instructor-led online training to help you learn from the comfort of your home.
• Wide Range of Courses: Koenig Solutions offers a wide range of courses to meet your needs.
• Accredited Training: Koenig Solutions provides accredited training to ensure quality learning.

Benefits of Taking Data Analytics Certification Courses


• Improved job prospects: According to a survey by IBM, the demand for data analysts is expected to increase by 28% by 2020.
• Higher salaries: Data analysts earn an average of $66,000 per year, according to Glassdoor.
• Increased knowledge: Data analytics certification training provides a comprehensive understanding of data analysis techniques and tools.
• Improved problem-solving skills: Data analytics certification training helps to develop problem-solving skills and the ability to think critically.
• Enhanced decision-making skills: Data analytics certification training helps to develop the ability to make informed decisions based on data.
• Improved communication skills: Data analytics certification training helps to develop the ability to communicate complex data in an understandable way.
• Increased confidence: Data analytics certification training helps to build confidence in data analysis and decision-making.

FAQ's

Ans - No, the published fee includes all applicable taxes.

Data Analytics, Data Science, Big Data, Machine Learning are all related to data and scientific computation of raw data. These are all the new and evolving technologies that have already made quite a few inroads in today's challenging business landscape. And it is here to stay. So, yes, Data Analytics certification training is worth it and will stay the same in the future as well. There is a great demand for Data Analytics certified professionals, but the supply for the same is very low at the moment.

Participants can take up their various Data Analytics certification exams from Pearson Vue and other Examination institutes.

The cost of the Data Analytics certification exams differs according to the vendor from which you choose your training. Below are the exam fees details:
  • MCSA: Power BI Reporting Certification Exam fee is USD 165.
  • Analyzing Data with Power BI Certification Exam fee is USD 165.
  • Microsoft Excel 2016 Certification Exam Fee is USD 100.
  • Cloudera Data Analyst Certification Exam Fee is USD 295.
  • SAS Certified Data Scientist Certification Exam Fee is USD 180.
 

Today the world is dependent on data. Anything and everything is analyzed through data analytics as it helps enterprises to perform at their optimum level. In fact, data analytics helps individuals and enterprises to derive at better business decisions, understand their customers better, identify new opportunities, create better products and provide overall better services that help enterprises achieve their business goals.

If you have relevant experience or required prerequisites to sit for relevant data analytics certification exam, then you need to:
  • Sit for an instructor-led Data Analytics Certification training through classroom or live online mode
  • Complete the assignments and tasks given by the trainer
  • Prepare for the relevant Data Analytics exam from a particular governing body such as Microsoft/ Cloudera/ SAS 
  • Take up your certification exam in person at Pearson Vue or other Exam centers in  your location or through web proctored mode
  • Clear your Data Analytics certification exam on your 1st attempt to become a certified professional
 

As the Data Analytics certification training is provided by multiple governing bodies, each certification training will have different criteria. Some Data Analytics certification exams do not have any prerequisites, whereas others need to have knowledge of tools and operating systems such as Windows OS, MS Excel, and exposure to the programming language.

Yes, Koenig Solutions is a Microsoft Gold Partner and Cloudera training partner to deliver their Data Analytics certification training for both individuals and enterprise teams globally.

As part of your Data Analytics training from Koenig Solutions, you will receive:
  • A copy of the Data Analytics course material
  • Exclusive resources from Microsoft, Cloudera, SAS, and other vendors
  • Sample Practice test papers for relevant Data Analytics certification exams
  • Exam Vouchers for your certification exam
 

Some of the popular Data Analytics certification courses are:
Cloudera Data Analyst certification training
  • MCSA: Power BI Reporting
  • Analyzing and Visualizing Data with Power BI
  • Analyzing and Visualizing Data with Excel
  • Microsoft Excel
  • Analyzing Data with Power BI
  • SAS Certified Data Scientist, Check Data Science Course at Koenig 
 

Microsoft Data Analytics certification courses are valid for 2 years, and can be maintained by getting recertified in the same. For Cloudera, their Data Analyst certifications are valid for two years. And for SAS Data Scientist certification is valid for 3 years.

Data analytics can be implemented in enterprises across industry sectors. With information collection, it needs to be segregated and use for human consumption to solve problems, aid decision-making, and better serve customers, creates better products and services. Companies that fail to analyze their data will be left behind in today's competitive market place.