Data is widely used everywhere, from online shopping to Social Media apps. So, data science has become one of the most demanding skills across many fields. You will think that learning the data science course will require strong technical skills. Actually, that’s not correct. Without having any technical skills, you can become an expert in data Science. It doesn’t matter whether you are a student or a business owner; you are making your first step. Start your journey by enrolling in a
Data Science Course in Chennai and discover the world of Data Science with no technical background.
Know What Data Science is
Data Science is the method of utilizing data to find solutions and make better decisions. The data may be a number or facts, or information that is used to make smarter decisions. For example,
- In a company, with the help of the data they have, they can understand what customers like the most, which product has the highest sales, and whether the offer reaches the customer.
- In an online shopping application, if we buy any product, we will give our data as our address, so that the product will reach our location.
If you’re interested to learn about Data Science, a Data Science course can help you learn basic concepts from scratch.
Tools Used for Data Science
To learn Data Science, you need to know about some tools that are used for Data Science.
Excel
If you’re new to data, Excel is the perfect place to start managing it. In Excel, we can organize our data, analyze our data, and visualize our data within the spreadsheets.
Excel guides you on how to store the data. You can sort and filter your data using Excel. Also, you can do some basic calculations like the sum and average. You can also create charts and graphs, like bar graphs, pie charts, and histogram charts, using the Excel tool.
Python
For beginners, Python is the best programming Language that is used mostly in Data Science. Python is known for its simple and user-understandable code. Using Python, we can use python to do machine learning and predictions. Python Libraries such as Pandas, Numpy, and Matplotlib are used to store the data easily and wisely.
SQL
SQL(Structured Query Language) helps you to handle the data which are arranged in tables, like a spreadsheet. SQL helps you to add, remove, and modify specific information from the tables. For example,” if you want to view the Student Attendance sheet for a specific month, SQL guides you to take that information quickly using a simple query.
Power BI
Power BI is a user-friendly tool that integrates with Microsoft products like Azure and Excel. It also includes built-in AI and automation abilities. Power BI is user-friendly and integrates well with other Microsoft tools and makes it easy to get started. easy to learn, and you can get familiar with other Microsoft Products.
Tableau
Tableau is a powerful tool for Data Visualization to display your data through dashboards and graphical representations. It helps you to visualize and work on the data that is used to solve problems.
Both Power BI and Tableau are Data visualization tools that convert your raw data into visual charts, graphs, and dashboards. These visualization tools allow you to easily work with the data using drag-and-drop features with no need for coding. Both tools are beginner-friendly and widely used.
Explore with Real-time projects
You can learn Data Science, especially from a non-technical background, by using real-life examples and projects. When you work on real-time projects, you’ll get to know how data science is used in the real world. To learn more about these projects, search for Data Science Training in Chennai, and build your journey as a Data Scientist.
Simple real-time Projects include,
- Weather Analysis
- Student Performance Analysis
- Sales Data Analysis
- Online Shopping Trends
- Movie Review Analysis
You can do these projects as a beginner, and for the datasets, you can find free datasets on sites like Kaggle, Google Dataset Search.
Conclusion
Learning a Data Science course is not difficult, especially for people from a non-tech background. With the skillset, using simple tools, working with real-time projects, anybody can start their career in Data Science. You don’t need to be a coder or a statistical expert to become a data scientist. If you are set to take your learning to the next level, FITA Academy is here to guide you with their expert trainers and hands-on experience.