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Advanced Program in Business Analytics with FinTech

With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.
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cqs
34 students enrolled
4.4
7 reviews
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Java (16)

Advanced Program in Business Analytics with FinTech

Duration: 667 Hrs.

 

Online training | Offline Training |Certificate of Completion | International Certification

CQS Training is a renowned institute with two decades of extensive and profound experience in the training industry we have not just successfully placed thousands of students in eminent corporations and prestigious universities, but have also emerged out as one of the leading training facilities in the domain of executive Education, Banking and Finance, Software Engineering, Infrastructure Management Services, Data Analytics, Digital Marketing, Graphic Designing, Sales and Marketing, Personality Development, English Communication, IELTS, TOEFL, and BPO training. At CQS we strongly believe in continuously reinventing ourselves and improving our training methods, technology, and proprietary training material to deliver the best classroom training. Our mission is to make students industry-ready and professionally efficient by bridging the Skill gap between Industry and the students. Integrity | Honesty | Compassion |Accountability |Innovation|

Training Highlights

  • Certified Faculties
  • Courseware Proficiency
  • Live Sessions
  • Recordings available
  • Small Batch sizes
  • 100% placement assistance

Overview of Training

This programme is a dual qualification 4 semester plan designed for students with little or no prior knowledge of fintech and business analytics.

It covers the essential aspects of financial technologies along with training in data analysis and business analysis tools.

With this programme, students will be skilled in two of the hottest domains in today’s times. Recommended for students who have completed class 12. Designed to be pursued along with regular college.

Course Curriculum

Semester 1

  1. Working with Microsoft Office
  • Learn the functionality of three key tools — Word, Excel and PowerPoint.
  • Knowing computer
  • Operating computer using GUI based operating system
  • Understanding word processing. …
  • Using spread sheet. …
  • Introduction to internet, www and web browsers. …
  • Communications and collaboration. …
  • Making small presentations. …
  • Financial literacy for banking scheme and applications.

 

  1. Data Analytics using Advanced Excel
  • Get hands-on experience to read, arrange and analyse data using Advanced Excel.
  • Sharpening Your Skill Set
  • Improving Your Efficiency and Productivity
  • Excel and Conditional Formatting
  • Handle Small and Big Data Better with Excel
  • Data, power query, tables & formatting
  • Conditional formatting
  • Advanced charting
  • Pivot Tables and reporting
  • Data tables, simulations & solver.

 

  1. Youtube Marketing
  2. Basics of Hardware & Networking
  3. Programming with C++
  4. Logic Building and Effective problem solving

 

 

Semester 2

  1. Process of Financial Accounting
  • Learn the essentials of calculations, documentation of expenses, and maintenance of financial statements.
  • Meaning, Principles, Categories, and Statements
  • Accounting Principles
  • Accounting Categories
  • Journal and Ledger in Accounting
  • Financial Statements
  • Financial Accounting
  • Types of Accounts and Three Golden Rules

 

  1. Essentials to Accounting and Finance using Tally Prime
  • Know how to use Tally Prime to manage accounts, transactions and real-time reports.
    Invoicing & Accounting
  • Inventory Management
  • Insightful Business Reports
  • Credit and Cash Flow Management
  • Multi-task Capabilities
  • Banking
  • Access Business Data Online
  • Secure Data
  1. GST and Taxation using Tally Prime
  • Learn how to set GST details in Tally Prime.
  • Understanding Keyboard Conventions in Tally Prime with GST
  • Company Creation, Alteration, Deletion in Tally Prime Software
  • User Interface Options available to work in tally Prime Software
  • Posting Opening balances in Tally Prime Software
  • Working on Ledgers and Groups in Tally Prime Software with GST
  • Understanding Groups of Accounts with Balance Sheet in Tally Prime Software
  1. Advanced Accounting using Tally Prime

Advance your knowledge of Tally Prime to do complex accounting, detailed reports, and reverse charge mechanism.

  1. Business Analytics using Tableau
  • Gain practical training on using the Tableau software to analyse data.
  • Tableau Tips & Tricks
  • Data Visualization best practices
  • Picking up the right type of visuals
  • Skilled in charts and different formatting types
  • Create interactive visualizations with charts
  • Work on real-time interactive databases
  • Understanding of built-in Tableau functions
  1. Investment Analysis using Tools

Get hands-on experience on key sophisticated tools to analyse financial data.

  1. Professional Skills

Familiarize yourself with non-technical skills to become a competent professional.

Semester 3

  1. Data Management with SQL
  • Learn to access and manipulate databases using SQL.
  • MySQL Operators
  • MySQL Create DB
  • MySQL Drop DB
  • MySQL Create Table
  • MySQL Constraints
  • MySQL Not Null
  • MySQL Unique
  • MySQL Primary Key
  • MySQL Foreign Key
  • MySQL Create Index
  • MySQL Auto Increment
  • MySQL Dates
  • MySQL MIN and MAX
  • MySQL COUNT, AVG, SUM
  • MySQL Joins
  • MySQL GROUP BY
  • MySQL INSERT SELECT
  • MySQL CASE
  • MySQL Null Functions
  1. Data Visualization with Power BI
  • Know how to use Power BI to develop charts, reports and visual data.
  • Business Intelligence (BI) Concepts
  • Microsoft Power BI (MSPBI) Introduction
  • Connecting Power BI with Different Data Sources
  • Power Query for Data Transformation
  • Data Modelling in Power BI
  • Reports in Power BI
  • Reports & Visualization Types in Power BI
  • Dashboards in Power BI
  • Reports & Visualization Types in Power BI
  1. Banking Codes & Standards

 

  1. Modes of Investment
  • Understand how to evaluate investment opportunities, optimize portfolios, and mitigate risks.
  • EXPLANATION
  • Forms of Investments
  • Classification of Investments
  • Cost of Investments
  • Carrying Amount of Investments
  • Investment Properties
  • Disposal of Investments
  • Reclassification of Investments
  • Disclosure
  • MAIN PRINCIPLES
  • Classification of Investments
  • Cost of Investments
  • Investment Properties

 

  1. Business Ethics

 

Semester 4

  1. Data Analytics with Python

Understand how to create and manage data structures using the Python programming language.

  1. Artificial Intelligence

Understand the essentials of artificial intelligence in fintech and business analytics.

  1. Machine Learning
  • Learn how machine learning could enhance the operations of fintech and business analytics.
  • What is Machine learning?
  • How is it different from traditional programming?
  • Why do we need Machine Learning?
  • Features of Machine Learning
  • Types of machine learning
  • Machine Learning Algorithms
  • Steps in Machine Learning
  • Python for Machine Learning?
  • Implementation of Machine Learning with Python
  • Machine Learning in Future

 

Career Scope

Our learning-based model opens multiple avenues and opportunities for students.

Business Analyst

Financial Consultant

Financial Analyst

Investment Analyst

System Analyst

Risk and Compliance Advisor

Financial Risk Manager

PowerBI developer

Python Developer

Trainer

Bank Teller

Financial Manager

Finance Manager

Operational Manager

Sales Manager

Investment Banker

Recovery Agent

Cashier or Teller

Treasurer

Customer Service Representative

Sales Representative

Marketing and Sales Executive

Business Intelligence Developer

Business Intelligence Manager

 

Students Feedback

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