Tools You’ll Master During a Data Analyst Course in Noida

Learn with Uncodemy – Your Trusted Guide to Data Analytics

Are you interested in becoming a data analyst? Do you want to learn the most useful tools that companies use every day? If yes, then Uncodemy’s Data Analyst Course in Noida is the perfect choice for you. In this article, we will explain what tools you’ll learn during this course and how they can help you build a strong and successful career.

At Uncodemy, we believe in teaching with simplicity. You don’t need to be a coding expert to become a data analyst. All you need is curiosity, a willingness to learn, and the right guidance. So, let’s start by understanding what a data analyst does and then we’ll go through the important tools you’ll master in our course.

Who is a Data Analyst?

A data analyst is someone who collects data, organizes it, and finds useful information from it. Companies use this information to make better decisions, improve their services, and increase profits.

For example, if a company wants to know why sales are going down, a data analyst will look at the sales data, customer feedback, and other numbers to find the reason. Then, they’ll share the results in a clear and simple way.

Why Tools are Important in Data Analytics

Data analysts work with large amounts of data. To handle this data properly, they need the right tools. These tools help in:

• Collecting data

• Cleaning and organizing data

• Analyzing data to find patterns

• Creating graphs and reports to explain the findings

  
  

That’s why learning these tools is the first step in becoming a skilled data analyst. And at Uncodemy, we make sure you learn all the top tools used in the industry.

Tools You’ll Learn in the Data Analyst Course at Uncodemy

Let’s now look at the most important tools you’ll master during our Data Analyst Course in Noida.

1. Microsoft Excel – The Most Basic and Powerful Tool

Excel is one of the oldest and most useful tools for data analysis. You can use it to store data, perform calculations, and create graphs.

What You’ll Learn:

• Data sorting and filtering

• Formulas and functions (SUM, IF, VLOOKUP, etc.)

• Pivot tables and charts

• Data cleaning techniques

• Conditional formatting

  
  

Why It’s Important:Almost every company uses Excel. It’s great for small and medium-sized data sets and helps you understand the basics of data analysis.

2. SQL (Structured Query Language) – Talking to Databases

SQL is used to manage data stored in databases. A database is where large amounts of data are stored safely.

What You’ll Learn:

• Writing simple and complex SQL queries

• Retrieving specific data from large datasets

• Filtering, joining, and grouping data

• Creating and updating database tables

  
  

Why It’s Important:SQL helps you pull the exact data you need. Companies store a lot of data in databases, and knowing SQL makes you job-ready.

3. Tableau – Data Visualization Made Easy

Tableau is a tool that helps turn numbers into beautiful graphs and dashboards. It’s useful for making reports that are easy to understand.

What You’ll Learn:

• Creating charts, maps, and dashboards

• Connecting Tableau to different data sources

• Using filters and parameters

• Publishing dashboards online

  
  

Why It’s Important:Even non-technical people can understand your work if you present it visually. Tableau is widely used in business reports.

4. Power BI – Microsoft’s Data Visualization Tool

Like Tableau, Power BI is another excellent tool for data visualization. It works smoothly with Microsoft products.

What You’ll Learn:

• Creating interactive dashboards

• Using DAX (Data Analysis Expressions)

• Connecting multiple data sources

• Sharing reports with others

  
  

Why It’s Important:Power BI is used in many companies, especially those already using Microsoft services. It’s great for creating professional reports.

5. Python – The Programming Language for Data

Python is a beginner-friendly programming language. It helps automate tasks, analyze large datasets, and even build machine learning models.

What You’ll Learn:

• Python basics: variables, loops, functions

• Data analysis libraries: Pandas and NumPy

• Data visualization libraries: Matplotlib and Seaborn

• Writing scripts for data cleaning and analysis

  
  

Why It’s Important:Python is a must-have skill for modern data analysts. It can handle more complex tasks than Excel or SQL.

6. R Programming – Another Option for Data Analysis

R is a language made specially for statistics and data visualization. While Python is more popular, some companies still use R.

What You’ll Learn:

• R basics: data types, functions, loops

• Data visualization using ggplot2

• Statistical analysis and modeling

• Working with data frames

  
  

Why It’s Important:R is powerful for statistical work. If you’re working in research or academics, R can be very useful.

7. Jupyter Notebook – Writing and Sharing Python Code

Jupyter Notebook is an online environment where you write and test Python code. It lets you mix code with notes and graphs.

What You’ll Learn:

• Writing Python code in cells

• Displaying graphs and results in one place

• Using Markdown to explain your code

• Sharing your work with others

  
  

Why It’s Important:It’s perfect for creating clean, readable reports with both code and visuals. Many data analysts and scientists use it.

8. Git and GitHub – Version Control Tool

Git and GitHub help you track changes in your projects and collaborate with others.

What You’ll Learn:

• Creating a Git repository

• Committing changes

• Pushing code to GitHub

• Working with team members on the same project

  
  

Why It’s Important:These tools are useful when working in teams. You can track what changes were made and by whom.

Bonus Skills You’ll Learn at Uncodemy

In addition to these tools, we’ll also help you learn

- Data Cleaning Technique

You’ll learn how to remove errors, fill missing values, and format your data properly.

- Business Understanding

We’ll teach you how to think like a business person and analyze data in a way that solves real problems.

- Communication and Presentation Skills

You’ll practice explaining your results in simple words using PowerPoint and storytelling.

- Capstone Projects

You’ll work on real-life projects using all the tools you’ve learned. This will help build your portfolio.

Why Choose Uncodemy for Data Analyst Course in Noida?

There are many reasons why Uncodemy is the top choice for learning data analytics in Noida:

✅ Experienced Mentors: Our teachers come from top companies like TCS, Wipro, and Infosys.✅ Live Projects: Learn by doing. Practice on real-world datasets.✅ Job Support: We help you with resume building, interview prep, and job placement.✅ Flexible Timing: Choose batch timings that suit your schedule – weekdays or weekends.✅ Affordable Fees: We offer high-quality training at budget-friendly prices.✅ Certificate of Completion: Show your skills to employers with our professional certificate.

Final Thoughts

Data Analytics is a growing field with many job opportunities. By learning the tools mentioned above, you can start your journey toward a high-paying and exciting career. At Uncodemy, we make learning simple, fun, and job-focused.

Whether you’re a student, a working professional, or someone looking to switch careers, our Data analyst course in Noida is designed just for you.

So, are you ready to become a data analyst?

Join Uncodemy today and master the tools that matter. Your future starts here!