Information is all around us—on your phone, in business, in government reports, and even on social media. Raw information, though, isn't readable. That's where data visualization comes in.
If you're considering enrolling in data science courses, data visualization software is one of the most crucial aspects of your coursework. Data visualization software enables you to transform unreadable information into easy-to-read graphs, charts, and dashboards that everyone can read—yes, even non-techies.
In this blog, we are going to talk about the most commonly utilized data visualization tools that are used in data science training courses, particularly in cities like Chandigarh. Whether you are a fresher or want to start a professional career in data science, it is sure to give a good head start.
Why Is Data Visualization Important in Data Science?
Let us first learn why data visualization is required and then learn the tools.
It is also presenting itself with conclusions to understand. Pictures help human beings to understand insights faster. A trend of decreasing or increasing sales can be understood by a graph much better than a spreadsheet, for instance.
Visual tools enable:
Reducing massive amounts of data:
Recognize trends, patterns, and anomalies
Make informed decisions
Present findings to non-technical teams
Now let’s explore the most useful tools you’ll likely learn in a good data science training program.
1. Microsoft Excel (with Charts and PivotTables)
Yes, good old Excel is still widely used in data science. It’s often the first tool people learn for organizing and visualizing data.
What You’ll Learn:
Creating bar, line, and pie charts
Using PivotTables and PivotCharts
Conditional formatting
Dashboards using Excel formulas
Best for: Beginners and business analysts
Why learn it: Almost every company uses Excel in some form. It’s a great starting point.
Tableau It’s highly visual, drag-and-drop-based, and doesn’t
require coding.
What You’ll Learn:
Connecting Tableau to different data sources
Creating interactive dashboards
Using filters, parameters, and calculated fields
Storytelling with data
Best for: Analysts, managers, data visualization specialists
Why learn it: Tableau is used by top companies for data reporting and is in high demand globally.
2. Power BI
Power BI by Microsoft is another strong tool for creating beautiful reports and dashboards. It’s especially useful for working with Microsoft-based systems.
What You’ll Learn:
Loading and cleaning data with Power Query
Designing interactive dashboards
Using DAX (Data Analysis Expressions)
Sharing reports on the Power BI cloud
Best for: Professionals in corporate environments, finance, and sales
Why learn it: It’s popular, integrates well with Excel, and is great for dashboarding.
3. Python (Matplotlib, Seaborn, Plotly)
In data science training, Python is taught for data analysis and modeling. But Python is also excellent for creating custom visualizations.
What You’ll Learn:
Seaborn for heatmaps, box plots, and correlation graphs
Plotly for interactive, web-based visualizations
Best for: Data scientists, machine learning engineers
Why learn it: R is open-source.
4. R Programming (ggplot2)
R is another language data science uses, especially in academic and statistical-oriented applications. The R ggplot2 library is actually really good at building layered plots.
What You'll Learn:
Plotting with grammar of graphics
Customizing plots for business reporting
Statistical visualizations
Best for: Researchers, statisticians, academic data scientists
Why learn it: R is well-suited to high-quality, detailed data
visualization and analysis.
5. Google Data Studio (Looker Studio)
For those working in digital marketing, sales, or website analytics, Google Data Studio (now called Looker Studio) is a useful tool.
What You’ll Learn:
Connecting Google Analytics, Sheets, or BigQuery
Building live dashboards
Creating visual reports for clients or teams
Best for: Marketing analysts, freelancers, small businesses. Why learn it: It’s free, cloud-based, and easy to use.
6. Qlik Sense
Qlik Sense is an enterprise-level tool used for business intelligence and interactive analytics.
What You’ll Learn:
Working with associative data models
Building real-time dashboards
Using storytelling features
Best for: Enterprise analysts, BI developersWhy learn it: It’s used in large
organizations for managing and sharing business insights.
Which Tools Are Taught Together?
In a typical data science training program, like the one offered at CBitss in Chandigarh, students usually learn a combination of tools:
Beginner Level: Excel, Tableau, Power BI
Intermediate Level: Python with Seaborn and Matplotlib
Advanced Level: R with ggplot2, Qlik Sense, or custom web visualizations
Learning a few tools equips you for several career positions and sectors.
It is one of the most desirable career prospects these days. Data science trainees in Chandigarh are paid a salary of ₹4 LPA to ₹6 LPA depending on qualification and experience. Experts earn about ₹8 LPA to ₹15 LPA or more after gaining a couple of years of experience.
Data scientists are much sought after by companies in various industries such as IT, finance, health, and online retailing. As more and more companies are depending on data-driven approaches, the need for such experts is constantly increasing. After training and exposure, you can get a well-paid data science position and build a secure career.
Here is one idea: begin with fundamentals such as Excel and Tableau. Proceed to software such as Power BI and Python once you feel confident. Practice with actual data sets and build a small portfolio of visualization and dashboard projects.
Companies such as CBitss offer hands-on, practical training on actual projects so that students learn as much as they implement what they learned.
Ready to launch your career in data science?Join CBitss today for expert-led Data Science training in Chandigarh. Master the skills, boost your salary, and build a future-proof career — enroll now!
