Post Graduate Program in Data Analytics, Abuja

Data Analytics Certification Course FAQs

• What is a data analytics certificate?

  A data analytics certificate is a professional credential demonstrating an individual's proficiency in collecting, organizing and analyzing data to derive insights and make data-driven decisions. It typically involves completing a course curriculum focused on various aspects of data analytics, such as data collection, cleaning, visualization, and interpretation. 
  
  It provides comprehensive training in essential skills and tools, offering practical experience and industry-recognized validation of your abilities to analyze and interpret data effectively. Once earned, this certification is a powerful endorsement of your skills and knowledge in data analytics.

• What does a data analyst do?

  Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. While it can be overwhelming to most people, this is where data analysts come into play. The aim of data analysts is to analyze data and extract meaningful insights from raw data. This is done by collecting, cleaning, and interpreting large and complex data sets to answer a business question or solve a problem.

  Analysts are required to have data analysis skills be well-versed in using basic data analytics concepts like statistics, data mining, core math, and machine learning models to do this. This data analytics course provides the skills to navigate this data overload, make it a manageable and valuable resource and finally, derive logical insights.

• What are the benefits of enrolling in this data analytics course?

  This data analytics course is ideal for newcomers as it covers enough information for entry-level positions while catering to more experienced professionals, providing an added layer of learning to enhance their proficiency. Some of the benefits of enrolling in this course include:

  • Joint program completion certificate from Purdue University Online and Simplilearn
  • Master classes delivered by Purdue faculty and IBM experts
  • Dedicated courses and separate certificates from IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering and explainable AI
  • A capstone project from three domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, and the World Bank

• What are the different roles in data analytics?

  With data analytics growing in prominence and complexity, the domain has broken down into more specific roles. Some of these roles include:

  • Business intelligence analyst
  • Data analyst
  • Data scientist
  • Data engineer
  • Data visualizer
  • Quantitative analyst
  • Operations analyst
  • Data analytics consultant

  And more

• What are the top responsibilities of a Data Analytics Expert?

  Data analytics experts are integral to organizations today, transforming raw data into meaningful insights that drive business strategy and operations, helping them gain competitive advantages, optimize processes, and achieve business objectives. Some of their top responsibilities include:

  • Gathering data from different sources and preparing it for analysis by cleaning and organizing it
  • Analyzing the data and identifying patterns, trends, and any connections
  • Creating visual representations of data, such as charts, graphs, and dashboards.
  • Deriving insights and conclusions and making them more presentable and accessible
  • Collaborating with other stakeholders to make insight-driven decisions for the organization

• What is the demand for Data Analytics Experts?

  According to Allied Market Research, the global big data and business analytics market was valued at $198.08 billion in 2020 and is projected to reach $684.12 billion by 2030. Today, data collection and processing remain essential parts of any organization's process. This value growth underscores the increasing importance and urgent demand for data analytics to gain a competitive edge.
  
  As a result, data analysis has also become an important task in determining any organization's future. Companies are constantly searching for qualified professionals skilled at analyzing complex sets of data, making sense of it and leveraging it for business benefit.

• Who are the instructors for this data analytics course, and how are they selected?

  Our highly qualified instructors are data analytics and business intelligence experts with years of relevant industry experience. Each has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only trainers with a high alumni rating remain part of our faculty.

• How do I enroll in this data analytics course?

  The admission process for the data analytics course consists of three simple steps:

  • All interested candidates are required to apply through the online application form
  • An admission panel will shortlist the candidates based on their application
  • An offer of admission will be made to the selected candidates and is accepted by paying the program fee.

• What is the salary potential of a data analytics professional?

  Data analytics professionals generally enjoy competitive salaries due to the high demand for their skills. That said, the salary potential of a data analytics professional can vary widely based on factors such as experience, education, geographic location, industry, and the specific job role. A data analyst's average annual salary over a year is USD 67,574.

• Can I enroll in a Data Analytics Course if I don't have any prior knowledge in Data Analysis?

  Yes, you can enroll in this data analytics course even if you have no prior knowledge. This course will take you from the fundamentals to the top of the ladder, where you will learn all the advanced skills to handle any critical task as a data analytics professional.

• What are the top industries implementing data analytics?

  Data analytics is widely implemented across different industries to leverage data-driven insights to optimize operations, enhance customer experiences, and drive strategic decisions. Here are some of the top industries utilizing data analytics:

  • Retail and ecommerce
  • Healthcare and pharmaceuticals
  • Finance and banking
  • Telecommunications
  • Education
  • Real estate

• Will I be able to access the content after completion of the Data Analytics Course?

  Yes, you can access the self-paced course content even after the completion of the Data Analytics Course.

• What is covered under the 24/7 support promise?

  We offer 24/7 support through chat for urgent issues. For other queries, we have a dedicated team that offers email assistance and callbacks on request.

• What is the refund policy for this Data Analytics Course?

  To learn more about cancellation refunds, please read our refund policy

• Will any preparation material be provided for this data analytics course?

  Once you pay the course fee or the first installment, you will be given access to a preparatory program with eight to ten hours of self-paced learning content in the form of videos.

• Does Simplilearn have corporate training solutions?

  Simplilearn for Business works with Fortune 500 and mid-sized companies to provide their workforce with digital skills solutions for talent development. We offer diverse corporate training solutions, from short skill-based certification training to role-based learning paths. We also offer Simplilearn Learning Hub+ - a learning library with unlimited live and interactive solutions for the entire organization. Our curriculum consultants work with each client to select and deploy the learning solutions that best meet their teams’ needs and objectives.