Data analytics is in high demand nowadays. It is a very lucrative career as every organization in every sector depends on data for business growth and maintaining a competitive edge. If you plan to make a career in data analytics, a Course in Hindi is a good option, as it allows those fluent in the language to grasp concepts more effectively. You can learn data analysis in Hindi if you’re comfortable in your native language. In this article, you will know the comparison between Online and Offline Data Analytics Training in Hindi.
Data analysis involves collecting, processing, and analyzing data to extract valuable information from the raw data. In the Data Analytics course, you will learn Data Cleaning and Statistical Analysis through the following tools.
Difference between Online vs. Offline Data Analysis Course in Hindi
1. Excel
Excel is the most widely used tool for every organization. It is easy to use with a user-friendly interface that provides quick analysis. Excel has a feature, the pivot table, that helps you to do conditional formatting, summarize, and visualize large data to extract valuable information.
2. Python & Its Tools
Python is one of the easiest programming languages in the world which makes it handy for every beginner to learn. It covers most of the market because of its libraries like Pandas, NumPy, Matplotlib, and Plotly. You can do analysis, manipulation, and data visualization with these libraries. You can also automate your tasks with Selenium. Even Python’s library Scikit-learn is also used for Predictive Analytics (Machine learning).
3. SQL
Structured Query Language is the basic skill for any data analyst. It is used to process relational databases. SQL enables analysts to retrieve and manipulate data efficiently. You must learn how to write SQL queries to explore large datasets from the server, as every organization stores its data in cloud platforms.
4. Power BI
Power BI, developed by Microsoft, is the most demanding, favorite tool for data visualization and business intelligence. With the help of Power BI, you can connect various data sources, transform the data, and extract meaningful insights. With these insights, you can create interactive reports that are useful for any business to achieve its goal.
5. Machine Learning
Being a data analyst, sometimes you have to perform predictions and predictive analytics and for that, you will learn a library of python that is Scikit-learn and Machine learning basics, regression, classification, and clustering are the techniques that allow analysts to make predictions and find patterns in the Data.
6. PySpark
PySpark is an abbreviation of python over spark which means we use python (a programming language) on spark technology. Spark is a technology developed by Apache, designed to process big data. Pyspark does data cleaning, transformation, and model development on large data in a simple way. Pyspark processes a large volume of data with a speed that saves time and cost for organizations.
7. ADF for ETL Process
Azure Data Factory (ADF) is a cloud-based tool used to extract data from the source, Transform, and load it to follow the ETL process. With this process, you can connect various data sources, transform raw data into a structured format, and load it to the destination. You can handle big data and workflows.
Online Data Analyst Courses in Hindi
Online courses provide the flexibility to learn from your comfort. You can upskill yourself during your current job and take on others’ duties as well with your course. Online courses are more budget-friendly as compared to offline courses, not in terms of money, but your time and your efforts too.
You will get interactive sessions and recorded lectures with strong placement support from industry professionals. Online platforms provide a wide range of resources to study, like videos, eBooks, quizzes, real-world projects, and a great community to become a part of.
Offline Data Analytics Courses in Hindi
In offline courses, you will get computer teachers who teach Python, Java, and many other languages with no industry experience. You will work under the observation of your teachers, but their courses are generally highly expensive and provide fewer real-life project experiences. On their fixed schedule, you will have to attend the sessions, there will be no availability of recorded lectures. Their availability is also limited, you will have to commute for the same to reach the location.
Factors to Consider Between Online and Offline Courses
It is important to consider various factors while choosing between online and offline courses. What is your preference, like what is your learning style whether you prefer self-paced learning or flexibility in learning? Online courses better suit almost everyone, as of budget and comfort. Online platforms provide great learning with interactive sessions from industrial professionals.
Time availability is a major concern for anyone, during your current job you can continue your learning even if you are enrolled in other activities then also you can pursue your studies as well.
Career in Data Analytics
After completing the course you can apply for various positions like business analyst, where you will have to interpret the data and help the business to grow through the insights by giving suggestions, data analyst, you will analyze complex datasets and extract valuable insights, Financial analyst, in this role you will analyze the financial trends. Marketing analyst in this role you have to check the market trends and how to expand the business. As a BI Developer, you will be creating interactive dashboards that speed up the decision-making process.
Conclusion
Both online and offline platforms are available for data analytics. You can select as per your preference, But online platforms provide training on all the required skill sets and technology with strong placement support. Console Flare is the institute that fulfills all your aspects, and you make your dream come true. There, you will get training from industry experts and you will get a chance to work on a real project. It will help you to grab a high-paying job in the data field.
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