Data analyst roles can be suitable for freshers due to entry-level positions and the growing demand for data analysis skills.

A data analyst certification is a shorter, focused program, while a degree provides a broader education and takes more time than a certification course.

To become a data analyst, typically, you need a bachelor's degree in a related field like statistics, mathematics,or computer science.

Data analysts focus on interpreting and visualizing data, while data scientists also create models and work with big data

Yes, you can transition to a data analyst career from a different field through a relevant course and by demonstrating your skills.

The best data analytics certification course with placement is offered by The IoT Academy. It is a 3-month certification program with a 100% job assistance

Companies like Google, Amazon, and Facebook are top choices for data analysts due to their innovative data-driven environments and opportunities. However, Accenture, Microsoft, IBM, Deloitte, TCS (Tata Consultancy Services), Capgemini, and Mu Sigma have global reach and provide opportunities for career advancement.

Yes, TCS (Tata Consultancy Services) does hire freshers as data analysts through their recruitment programs.

A junior data analyst in India can expect an average salary of around 6 lakhs per annum.

After 5 years of experience, a data analyst's maximum salary can range from 15-25 lakhs per annum, depending on skills, location, and the company.

Data analyst certification costs in India range from ₹28,000 to ₹50,000 depending upon the location.

Prerequisites often include a bachelor's degree, basic math and computer skills, and familiarity with data tools like Excel.

The IoT Academy Data analyst courses will take 3 to 4 months to complete and you will also get 100% placement assistance after completing the course.

Yes, The IoT Academy provides both offline and online data analytics course with placement. You can learn data analytics from anywhere across the world.

You'll gain skills in data analysis, data visualization, statistical analysis, and proficiency in tools like Python and SQL during a data analyst course.