Road map for Non IT background to data analytics

Road map for Non IT background to data analytics

Join Data Analytics Classroom Program

Our Courses in Data Science and Data Analytics start from scratch and step by step guidiance

Our Courses in Data Science and Data Analytics start from scratch and step by step guidiance

It's certainly possible with the right mindset, skills, and resources.

It's certainly possible with the right mindset, skills, and resources.

Develop a solid foundation in statistics and maths

Develop a solid foundation in statistics and maths

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As a data analyst, you'll be working with data and making conclusions based on that data

Learn programming languages and tools:

Learn programming languages and tools:

Start with the basics of Python or R programming and then move on to more advanced topics such as data manipulation and visualization using libraries like pandas, matplotlib,

Practice Data Visualization

Practice Data Visualization

Data visualization is the process of creating visual representations of data to help identify patterns and trends.

Build a portfolio of projects

Build a portfolio of projects

The best way to demonstrate your skills is by building a portfolio of projects. These can be personal projects, open-source contributions, or projects for your current employer

Network and gain experience:

Network and gain experience:

Attend networking events, meetups, and conferences to meet other data analysts and learn about the latest trends in the field.

Stay up-to-date:

Stay up-to-date:

Data analytics is a rapidly evolving field, so it's important to stay up-to-date with the latest trends and technologies.

By following this roadmap, you can develop the necessary skills and knowledge to transition into a career in data analytics

Unlock the power of data with our comprehensive data analytics course!

Unlock the power of data with our comprehensive data analytics course!

Training and Internship