Data Analyst

Data Analyst Program FAQs

• What does a Data Analyst do?

  Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyst also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.

• What industries use Data Analysis most?

  Some of the top industries using data analysis include data assurance, retail, finance, entertainment, government and public sector, higher education, sharing economy services, sales & marketing, agriculture, business intelligence, healthcare, and data quality. With this online Data Analyst certification training, you can develop job-ready skills to kickstart this in-demand career.

• Can a fresh graduate seek employment after completing this Data Analyst course?

  Because the profession is vital to business, most companies require a data analyst, and new graduates have excellent job opportunities. If you aim to become more competitive, then it is worth earning the Data Analyst course. Explore your educational opportunities and start creating a solid basis for data analyst skills.

• What are the prerequisites for pursuing this Data Analyst course?

  Professionals who would like to successfully complete this Data Analyst course should have basic mathematical knowledge and problem-solving skills.

• What is the average salary of a Data Analyst?

  Although data analysts are well-paid worldwide and exponential demand for data analysts will never decline, data analysts' salaries vary in different sectors and nations. Data analysts' salaries depend on their skills, experience, company & location. Our Data Analyst course helps you achieve a higher salary, expertise, and skills to succeed in this lucrative growing profession. The average annual salary in top countries is:

  • India: Rs. 509417
  • US (New York): $105,001
  • New Zealand: $70,000
  • Canada: $61,766

• How do I earn the Master's certificate?

  Upon completion of 80% of LVC hours and 2 projects, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.

  Please find the completion criteria for each course within the mandatory learning path as:

  Course	Course completion certificate	Criteria
  Business Analytics with Excel	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  SQL	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  Programming Basics and Data Analytics with Python	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  R programming for Data Science	Required	As per criteria on IBM portal
  Data Analytics with R	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  Tableau Training	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  Data Analyst Masters Capstone	Required	Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

• If I need to cancel my enrollment from this data analyst course, can I get a refund?

  Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

• I am not able to access the Data Analyst course. Who can help me?

  Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.

• Who will teach this Data Analyst course?

  All of our highly qualified Data Analyst course trainers are business intelligence industry experts with years of relevant industry experience. Each of them 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 those trainers with a high alumni rating remain on our faculty.

• What is Global Teaching Assistance?

  Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as a data analyst on your first attempt. They engage students proactively to ensure the course path is followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

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

  We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. You will have lifetime access to the community forum, even after completing your data analyst course with us.

• What is the job market for data analysts?

  Data analysis is a rapidly growing field, and the demand for data analysts is increasing in many industries. Here are a few placement trends for data analysts:

  • Increasing demand: The amount of data being generated is increasing at a rapid rate, and organizations are looking for ways to extract insights from that data. As a result, the demand for data analysts is increasing in finance, healthcare, retail, and manufacturing industries, to name a few.
  • The growing use of data analytics in different sectors: Data analysis is becoming increasingly important in various sectors, such as healthcare, finance, manufacturing, retail, and technology. The increasing use of data analytics in various sectors is creating new opportunities for data analysts.
  • Remote work: With the COVID-19 pandemic, remote work has become more prevalent and many companies are now looking for data analysts who can work remotely.
  • Use of machine learning and artificial intelligence: Data analysts are increasingly expected to use machine learning and AI to extract insights from data. This is creating new opportunities for data analysts with experience in these technologies.
  • Interdisciplinary skills: Data analysts are increasingly expected to have interdisciplinary skills, such as data visualization and business acumen.