SAS
SAS originally stood for “Statistical Analysis System”, which as the name suggests was used for Statistical analysis. Today it has evolved to become a ubiquitous Business Intelligence (BI) tool which is used for Data analysis, reporting, predictive modelling, data mining, econometric and time series analysis…pretty much anything and everything related to Data Analytics..
Python
Core and Advanced Python is a high-level, interpreted, interactive and OOPS language. Python was designed to be highly readable, uses English keywords frequently whereas other languages use punctuation and it has fewer syntactical constructions than other languages. Course is being designed for software programmer with a need to understand Python programming and frameworks.
Introduction to Python Programming
History and Background
Comparison with other Programming Languages
Installation and Environment Setup
Working in IDLE and CMD
Working in VS-Code
Working in Jupyter Notebook (Anaconda)
Working in Google Colaboratory (with Google Drive)
Writing your First Python Program
Data Analytics
A data analytics course typically covers techniques and tools used to analyze and interpret data in order to gain insights and inform decision-making. Topics may include statistical analysis, data visualization, machine learning, and database management. Students may also learn to use programming languages such as Python or R to manipulate and analyze data. The course may prepare students for careers in data analysis, business intelligence, or data science.
Machine Learning
We are India’s leading Education Management firm in the field of ANALYTICS, operating in INDIA.Our core area of working is in Machine Learning with Python for Banking and Finance domain. Our team is working on leading Artificial Intelligence tools to make the world a better easier place to live. We are highly skilled and trained in delivering training to Aspiring Graduates.
Artificial Intelligence
Our Artificial Intelligence course helps you to learn master Artificial Intelligence and Machine Learning skills like Data Science, CNN, perceptron, TensorFlow, Neural Networks, NLP, etc via hands-on projects. Learn AI by edulyt faculty and enrol in the best Artificial Intelligence program online to become a successful Artificial Intelligence Engineer!
SQL
SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction.
SQL is a standard language for storing, manipulating and retrieving data in databases. Our SQL trainer will teach you how to use SQL in: MySQL, SQL Server, MS Access, Oracle, Sybase, Informix, Postgres, and other database systems.
MS Excel
Our Excel tutorials are designed to help you use Microsoft Excel to analyze data on any level. Whether you’re just learning how to create spreadsheets or need to perform advanced data analysis with functions, formulas, and charts, these courses will help you unlock the maximum potential of this popular data-analysis program.
VBA
You can easily learn VBA by working your way through the variety of free lessons that we offer.
If you think that creating macros is too complicated or beyond your capacity, don’t worry, this course is intended for those of us who are just starting out in programming, so it starts from zero.
Just like our Excel course, these lessons have lots of examples, and we’ve simplified them as much as possible so that it’s easy to learn VBA.
We recommend that you work your way through the lessons in the order in which they are provided, because at each level you will need the skills acquired in the previous ones.
Credit Risk
In this course, you will use business and industry analysis to understand companies, projects, business models, and financing proposals. You will then prepare qualitative risk analysis for specific companies to use as the basis for financial analysis, project analysis, and risk decisions. Lastly, you will understand how to use financial ratios and financial metrics to evaluate a company or project’s profitability, balance sheet, capital structure, and cash flow to assess overall financial performance and risk profile.
Banking and Finance
The purpose of this course is to provide you with a basic understanding of the connections between money, the financial system, and the broader macroeconomy. We will examine the economics of modern financial institutions (e.g. banks), including how they are organized, the products and financial services they offer, the risks they take, why and how they are regulated, and how this has changed over time. We will develop a conceptual framework that will allow us to assess how recent financial regulations as well as innovations in finance (e.g., securitization, fintech, cryptocurrencies) may influence the macroeconomic, financial, and business environment.