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Students trained
Hours Training
Dedicated mentor
New batch starting
Develop business analytical skills covering both technical and business domains.
In depth understanding of the key technologies in business analytics: Analysis using python, Database Management, Data Visualization
Impart knowledge on powerful techniques used in finance, marketing, and operations.
To practice problem analysis and decision-making.
This course is for aspiring Business Analysts wanting to increase their ability to land that Business Analyst job. Also for anyone who analyzes, elicits, or documents requirements.
In depth understanding of the key technologies in business analytics: Analysis using python, Database Management, Data Visualization
Ability to read and create important business and technical visual models.
Utilize visual modeling to make requirements come alive.
Ability to choose the best visual model to aid in various situations.
To drive better business decisions, understanding analytical tools, flexible training and to get best business analytics jobs all over the world at industry’s best salary.
Students will not only learn theoretical knowledge but also practical implementation of things they have learn
Access to India's Leading Business Analytics community.
All Lectures can be delivered not only in English but also in Hindi
Welcome to Spreadsheet Modeling – the world where analytics meets our favorite tool, Microsoft Excel. Spreadsheets are used by executive and execution audience, they allow data storage, visualization, analysis as well as automations – and hence all aspects of modeling can be covered in MS Excel.
Database Management allows a person to organize, store, and retrieve data from a computer. Database Management can also describe the data storage, operations, and security practices of a Database Administrator (DBA) throughout the life cycle of the data.
Business Analytics With R or commonly known as ‘R Programming Language’ is an open-source programming language and a software environment designed by and for statisticians. It is basically used for statistical computations and high-end graphics. Thus, it is a popular language among mathematicians, statisticians, data miners, and also scientists to do data analysis
Data visualization is part of many business-intelligence tools and key to advanced analytics. It helps people make sense of all the information, or data, generated today. With data visualization, information is represented in graphical form, as a pie chart, graph, or another type of visual presentation.
Probability and Statistics is a foundation course in the study of Business Analytics. It provides an understanding of the principles associated with modeling of stochastic processes. The topics will include: Probability Theory-important probability distributions, sampling from distributions, interaction of multiple stochastic processes; Regression; Statistical Analysis-descriptive/inferential/ predictive statistics, multivariate statistics, time series models; Modeling-modeling concepts, Monte Carlo simulation, decision analytics. Students will also be introduced to a variety of statistical modeling packages.
Data Warehousing combines information collected from multiple sources into one comprehensive database. To cite an example from the business world, I might say that data warehouse incorporates customer information from a company’s point-of-sale systems (the cash registers), its website, its mailing lists, and its comment cards. Data Warehousing may also consider confidential information about employee details, salary information, etc.
Companies use this information to analyze their customers. Data warehousing also related to data mining which means looking for meaningful data patterns in the huge data volumes and devise newer strategies for higher sales and profits.
Python is widely used and is one of the top programming languages for data science, web development, system administration, writing automation scripts, and more. Out of the box, Python allows users to store, access, and manipulate data. It also has a huge and growing ecosystem with a variety of open-source packages and libraries. This means different roles can use Python for different purposes.
Companies use forecasting to help them develop business strategies. Past data is collected and analyzed so that patterns can be found. Today, big data and artificial intelligence has transformed business forecasting methods. There are several different methods by which a business forecast is made. All the methods fall into one of two overarching approaches: qualitative and quantitative
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