Data analysts use tools for data analysis to examine information and work with their teams to generate ideas and business plans. You'll need proficiency with tools for data analytics and data visualisation, as well as math, statistics, communication, and working with data. Investigate this in-demand profession. Want to become a data scientist or data analyst? Learnbay provides the best data science courses in Pune https://www.learnbay.co/data-science-course/data-science-course-in-pune/

1. DATA ANALYST
SKILLS

2. SQL
SQL, is the standard language used to communicate with
databases. Knowing SQL lets you update, organize, and query data
stored in relational databases, as well as modify data structures.
PROGRAMMING
Statistical programming languages, like R or Python, enable you to
perform advanced analyses in ways that Excel cannot. Being able
to write programs in these languages means that you can clean,
analyze, and visualize large data sets more efficiently.

3. MACHINE LEARNING
Machine learning, a branch of artificial intelligence (AI), has become one of the
most important developments in data science. This skill focuses on building
algorithms designed to find patterns in big data sets, improving their accuracy
over time.
STATISTICS AND PROBABILITY
Statistics refers to the field of math and science concerned with collecting,
analyzing, interpreting, and presenting data. That might sound familiar—it
closely matches the description of what a data analyst does.

4. DATA MANAGEMENT
Data management refers to the practices of collecting, organizing, and storing
data in a way that is efficient, secure, and cost effective. While some
organizations will have roles dedicated to data management—data architects
and engineers, database administrators, and information security analysts—data
analysts often manage data in some capacity.
ECNOMETRICS
With econometrics, analysts apply statistical and mathematical data models to
the field of economics to help forecast future trends based on historical data.
Understanding econometrics is key for data analysts looking for jobs in the
financial sector, particularly at investment banks and hedge funds.

5. Tips for learning data analysis skills
Set aside time to regularly work on your skills
Learn from your mistakes
Practice with real data projects
Join an online data community
Build your skills bit by bit
Data analysts leverage these and other technical skills to help inform decisions
at their organizations. Putting in the time and effort to learn these skills can set
you up for a successful career as a data analyst. Here are a few quick tips for
getting started:

6. https://www.learnbay.co/
THANKS FOR WATCHING