We live in a digital world where technology has become an integral part of our lives and has significantly changed almost every aspect of human living. Data works as fuel for these technologies and keeps them going. From finance to healthcare, data has become a crucial part of business operations. 

However, even though chunks of data are available everywhere around us, they are not useful. And this is where data analytics comes into the picture. As the demand for high-quality data continues to grow, the need for professionals who can effectively manage that data has also grown. 

So if you are someone who is passionate about data, and looking to start a career in data analytics, this guide is for you. Here we will discuss everything you need to know about starting a career in data analytics. From roadmap to job opportunities, we will discuss everything in detail.

In simple terms, data analytics refers to collecting and analyzing large data sets and presenting them in easy-to-understand formats so that they can be used to make informed decisions in different business processes. 

Let’s understand this with an example. You must have come across the movie recommendations on Netflix. So how does that recommendation system work? Netflix collects user data to understand their watching behavior. 

So let’s say many users have watched 2 movies from the same genre in a row, and you have just finished watching one of them, based on the data, Netflix will recommend another one to you.  

However, it is not as simple as it seems. Because organizations collect tons of user data every single day. It requires several processes to work on this raw data and make helpful decisions by understanding it. Data analysts use different tools and methods to carry out data analysis. 

Information Technology

From IT giants like Google, Amazon, Meta, etc to new tech startups, everybody uses data analytics to ensure seamless user experience and manage their user’s data effectively. Similarly, data analytics is also used to effectively use the latest technologies such as artificial intelligence and machine learning. 

Banking & Finance 

Data is crucial in the finance industry and so is data analytics. Banks and other financial institutions use several data analytics processes for Risk analysis, fraud prevention, market predictions, etc. Data analytics also helps in effectively managing customer data. 

Healthcare

The healthcare sector can also benefit from data analytics. By using data analytics, healthcare professionals can use data analytics tools to track different health parameters of their patients. By keeping track of medical history, doctors can enhance the effectiveness of treatments. 

Entertainment & Social Media

Entertainment and social media platforms also use data analytics to improve the user experience and increase engagement on the platform. The data is used for predictions, recommendations, and targeting ads. 

Supply Chain 

Data analytics is significantly useful in the supply chain for efficient processes. From inventory to transportation, data plays a crucial role. With effective use of data, the whole supply process can become hassle-free and quick. 

Marketing 

Data analytics has become a crucial part of modern-age marketing. By utilizing data analysis, marketing professionals can gain helpful insights that will help in creating effective marketing strategies for their brands.

Starting a career in data analytics includes several steps, depending on whether you are a fresher or an experienced professional. Let’s understand these steps one-by-one. 

• Understand the Basics

Before you start learning the tools and technologies required for data analytics, you need to understand the basics first. Learn about different types of data, data analytics, their application, and processes. By understanding the basics, you can create a strong foundation for your data analysis journey. 

• Level-up Technical Skills 

Once you are done with the basics, you have to focus on technical skills like programming, database management, and data visualization. You can join our best data analytics course in Vadodara which will equip you with the most advanced tools and technologies in data analytics. 

• Gain Hands-on Experience

Although you become proficient in technical skills and tools, hands-on experience is crucial to solidify your knowledge. You can try your hands with demo projects available online. If you join our data analytics training course in Vadodara at Webbrains Tech, you will get a chance to work on live projects, where you can utilize your knowledge and skills. 

• Get Internship & Placement 

Once you are equipped with the necessary knowledge and skills, it’s time to find the right opportunity for you. If you are a fresher, you can search for an internship. In case you are an experienced professional, you should look for a relevant job opportunity. 

By joining our data analytics course in Vadodara with certification, you can learn the latest skills and tools used for data analytics. 

Mathematics and Statistics: You have to be proficient in mathematics and statistics for a better understanding of data. You have to start with – 

• Calculus 
• Standard Deviation
• Linear Equation
• Matrix
• Linear Algebra
• Probability

Microsoft Excel: Next you have to start mastering Excel. As a Data Analyst Microsoft Excel will be a helpful tool for you. 

• Basic Functions and Formulas
• Data Formatting and Conditional Formatting
• Data Sorting and Filtering
• Charts and Graphs
• Advanced Logical Functions

Python: Python is a robust programming language used for Data analytics. It is helpful for automating tasks to make the processes efficient and fast. 

• Python Variables, Data Types, and Operations
• Control Structures
• Functions and Modules
• Data Structures in Python
• Sets, Arrays
• Python Libraries
• Object-Oriented Programming (OOP)

SQL: SQL is a computer language used to organize and manage data from the database. It is a crucial tool in the whole data analytics journey.

• SQL Basics
• Introduction to Databases
• Data Retrieval
• Filtering and Sorting Data
• Aggregation Functions
• Joins and Relationships
• Data Modification
• SQL Queries

Data Visualization Tools: Once you learn to manage and analyze the data, you have to start with data visualization tools such as PowerBI and Tableau. 

• Introduction to Data Visualization Tools
• Connecting to Data Sources
• Object-Oriented Programming
• Creating Basic Visualizations: Bar Charts, Line Graphs, Pie Charts
• Advanced Visualizations: Tree Maps, Box Plots, Waterfall Charts
• Dashboard Creation and Design Principles
• Calculations and Expressions
• Annotations and Storytelling
• Advanced Analytics and Forecasting
• Publishing and Sharing Dashboards
• Integration with Other Tools and Platforms

Data Analyst 

The most popular career option is Data Analyst. As discussed earlier, data analytics is used across various industries. It means you can start your career as a data analyst in different domains such as healthcare, marketing, finance, IT, business operations, etc. 

To start a career as a business analyst, you must be a graduate in mathematics, statistics, or a relevant field. Apart from that, you must be proficient in various data analysis tools and processes required for those particular industries. 

As a data analyst, you can expect a salary between ₹5 LPA to ₹9 LPA, based on your experience, skills, and scope of the job. 

Data Visualization Specialist 

A data visualization specialist is responsible for presenting the chunks of data in simple and easy-to-understand formats such as bars, charts, graphs, etc. Data visualization specialists have high demand in marketing and IT industries. 

You can become a data visualization specialist by mastering different data visualization tools. However, before that, you must have a basic understanding of data management and data analysis. 

The approximate salary of data visualization specialists ranges between ₹3.5 LPA to ₹8 LPA, based on the experience and skills they have.

Data Architect 

Another potential career option is Data Architect. A data architect is an important asset of a company responsible for effectively managing the company’s data by creating efficient and robust data frameworks. 

Data architects have a huge scope in the information technology sector and organizations working largely with the cloud. You can become a data architect by gaining solid skills in cloud, databases, and data management operations. However, a degree in computer science, information technology, or a relevant field will be a plus.

The average salary of a data architect ranges between ₹ 7 LPA to ₹ 15 LPA, depending on the knowledge, skills, and experience.  

Business Intelligence Analyst

A business intelligence analyst is responsible for finding helpful outcomes and making better decisions by analyzing the company data. You can start a career as a Business intelligence analyst in various industries such as finance, marketing, manufacturing, etc. 

To start a successful career as a business intelligence analyst, you must have a degree in computer science, information technology, or a relevant field. A specialized course or master’s degree in data science will be a plus. Apart from that, you must be also proficient in cloud, database, data management, and analysis. 

As a business intelligence analyst, you can expect a salary between ₹ 6 LPA to ₹ 12 LPA, based on the skills and expertise you have. 

Can I switch my career to data analytics? 

You can certainly switch your career to data analytics. Data analytics is a vast field with numerous career options. With some guidance and practical training, you can excel in the dynamic world of data analytics. 

Can freshers from non-IT backgrounds establish careers in data analytics? 

Yes, they can. By enrolling in our data analytics course in Vadodara, you can learn all the necessary tools and gain knowledge from basics to advanced. We will help you start a rewarding career in the field of data science, irrespective of your background. 

Are there any prerequisites for your course? 

While our course does not require any prerequisites. However, if you have a basic knowledge of databases, data presentation, or programming, it will be a plus for you. 

Will you help me gain practical experience? 

Yes. We help you with hands-on, practical experience. During our data analytics course, we let you work on live industry projects where you can utilize your knowledge and skills.