## 9 ESSENTIAL TIPS FOR STARTING YOUR JOURNEY IN DATA ANALYTICS

Data analytics is one of the most important fields in today’s world. It helps businesses and organizations to make data-driven decisions and provides insights into various industries. Data analytics is a field that requires a combination of skills, including mathematics, statistics, programming, and critical thinking.

If you’re interested in becoming a successful data analytics learner, here are some essential tips to help you get started:

• Understand the Basics of Data Analytics

Before delving into the world of data analytics, it’s important to understand what it entails. Data analytics involves collecting, processing, and analysing large sets of data to derive insights that can be used to make informed decisions. It’s a multidisciplinary field that combines aspects of statistics, mathematics, computer science, and critical thinking.

• Learn the Basics of Statistics

Statistics is a fundamental aspect of data analytics. It helps in understanding the data, identifying patterns, and making predictions. Data analytics learners must have a basic understanding of statistics concepts such as mean, median, mode, standard deviation, and variance. It’s also important to understand probability theory, hypothesis testing, and regression analysis.

• Choose a Programming Language

A programming language such as Python or R is essential in data analytics.They are easy to learn and have libraries that can be used to perform data analysis tasks. Python has libraries such as Pandas, NumPy, and Matplotlib, while R has libraries such as ggplot2, dplyr, and tidyr. It’s important to choose a programming language and become proficient in it.

• Understand Data Wrangling

Data wrangling is the process of cleaning and transforming data to make it suitable for analysis. Data analytics learners must understand data wrangling techniques such as data cleaning, data transformation, and data reshaping. It’s important to know how to handle missing data, duplicates, and outliers.

• Practice, Practice, Practice

Data analytics is a practical field. The more you practice, the better you get. There are several data analytics projects available online that you can work on to hone your skills. Kaggle is a popular platform for data analytics learners to work on real-world projects and competitions. Data analytics learners can also work on personal projects such as analysing a sports team’s performance or analysing their own social media data.

• Stay Up to date with Industry Trends

The data analytics field is rapidly evolving. Data analytics learners must stay up to date with the latest industry trends, tools, and techniques to remain relevant. Following data analytics thought leaders on social media, attending data analytics webinars, and reading industry publications can help learners stay up to date with the latest trends.

• Network with Other Data Analytics Professionals

Networking with other data analytics professionals can help learners gain insights into the industry and connect with potential employers. Joining online data analytics communities or attending data analytics conferences can provide learners with opportunities to network with other professionals in the field. LinkedIn is a great platform to connect with other data analytics professionals.

• Develop Soft Skills

Data analytics learners must develop soft skills such as communication, problem-solving, and teamwork. Effective communication skills are important when presenting data analysis findings to stakeholders. Problem-solving skills are essential in data analytics as it involves finding solutions to complex problems. Teamwork skills are important in a collaborative work environment.

• Pursue Relevant Certifications

Certifications in data analytics can be a valuable addition to a learner’s resume. Certifications such as Certified Analytics Professional (CAP) and Certified Data Management Professional (CDMP) can help learners stand out in the job market. These certifications demonstrate a learner’s proficiency in data analytics and can help them land a job or a promotion.

Written By:
Ms. Amritpal Kaur
Assistant Professor
CSE
FEAT
SGT University