Centre of Computer Education
Data Analytics Training in Kolkata
2) Learn Python, analyze and visualize data with Pandas
Matplotlib and Scikit.
3) Create robust predictive models with advanced statistics.
4) Leverage hypothesis testing and inferential statistics for
Grow Your Data Analytics Skills
The name Data Analytics refers to the act of analyzing datasets in order to derive conclusions from said data. For businesses, the data they collect might be historical data or new information gathered for a specific project. Moreover, the data used can consist of information about an audience’s demographics, interests, behaviors, and more.
In simple terms, a Data Analyst is a person who converts numbers into insights that a business can benefit from. These numbers can come from a variety of sources like sales figures, fixed business costs, advertising rates, market share, customer churn rate, and so on. The bigger the organization, the bigger the numbers and the more acute the need for data analysis or data science. All this can get extremely complicated for the untrained eye. This is where a Data Analytics professional steps in and brings in order and simplicity. He captures the data, aggregates it, wrangles with it, and converts it into a format that is easy to visualize and report. At the end of the day, getting the right data analytics training and becoming a successful data analyst means you will be able to convert data into pure gold for any digitally driven organization!
Need for Data Analytics Training in Kolkata
Data analytics techniques enable a business to take raw data and uncover patterns to extract valuable insights. As a result, data analysis helps companies make informed decisions, create a more effective marketing strategy, improve customer experience, streamline operations, among many other things.
We all know that Data Science is booming and so is data analysis. Put simply, a data analyst is assigned with the goal of helping organizations to make better business decisions. This can fall under the purview of cutting down costs, increasing the returns coming from marketing initiatives, advising the management on entering new geographies, making newer product launches, and so on and so forth. You might not be aware that a data analyst in a large organization can even play a role that is specific to what he does in the organization. So a data analyst in a Fortune 500 company may go by the name of a financial analyst, sales analyst, operations analyst, marketing analyst, and so on.