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Financial Business Analysis: Python | Excel | BI |Cloud

Course Overview

The Financial Business Analysis Course at Aptech Computer Training in Dubai & Sharjah equips you with essential skills in financial analysis, predictive modeling, and data-driven decision-making. Learn to use tools like Excel, Power BI, Python, and NoSQL databases to analyze financial data and build actionable insights. Gain hands-on experience with real-world projects and earn a KHDA-certified certificate to enhance your career prospects.

Module 1: Introduction To Business Analysis

  • What is Business Analysis?
  • Uses of Financial Business Analysis.
  • Tools of Business Analysis.
  • Data analysis and predictive modelling.
  • Environment Setup for Power BI, Python, Firebase Cloud.

Module 2: Quick Analysis

  • Beginners, Intermediate & Advance Functions with Tools.
  • Financial Function and Case Study.
  • Practical Implementation Build a P&L Chart.
  • Working with Pivot Table Slicer.
  • Pivot Table for Financial Reporting.
  • Building a Complete 3 Statement Model.
  • Creating Multiple Scenarios.
  • Methods for Financial Liabilities.
  • Filtering with Financial Data.
  • Statistical Computing with Data and Visualization.

Module 3: Financial Analysis And Modelling

  • Financial Statement Analysis with raw Data.
  • Financial Statement Analysis with Tesla
  • Working with Capital Management.
  • Fundamental of Business and Financial Analysis.
  • Corporate Finance and Project Management.
  • Time value of Money and Interest Rate Components.
  • Value of Cash Flows with Different Timing.
  • Loan Calculation.
  • A Complete case study with Building a Financial Planning Model.

Module 4: Revisited To Python & Anaconda Setup

  • Anaconda Jupyter Environment Setup.
  • Python language Overview.
  • Data types of Python, numbers, string.
  • If, el-if, Loops in python.
  • Functions and modules in python.
  • Lambda function.
  • Strings methods.
  • List and its methods.
  • Tuple, set, dictionary and their methods.

Module 5: Financial Analysis Using Python

  • Understanding the uses of various open source libraries.
  • Importing various modules with different methods.
  • Working with Numpy.
  • Numerical operations on Numpy array.
  • Exploring various use cases of Numpy.
  • Financial Analysis using scikit-learn, QuantLib, SciPy.

Module 6: (Eda) & Conversion Excel Model To Csv

  • Pandas module and its uses in data analysis.
  • Series and Data frame.
  • Need of pre-processing of data.
  • Data wrangling and feature engineering.
  • Handling different pre-processing technique like missing value impute, explore data, convert from string to number etc.
  • Concepts of normalization and standardisation.
  • Standardize the dataset using Standard Scalar(), MaxMinScalar()
  • Data Source with Excel and csv Files.

Module 7: Data Visualization Using Python

  • Matplotlib, Seaborne, Plotly and Cufflinks.
  • Draw different types of graphs using above modules.
  • Pie chart, histogram, bar chart, boxplot, count plot etc.

Module 8: Financial Data Analytics Using Power Bi

  • Dash Board Preparation with BI.
  • Connect to Kaggle Datasets.
  • Explore Pandas Data Frame.
  • Analyze and manipulate Pandas Data Frame.
  • Data cleaning with Python & Export to BI.
  • Data Visualization with Python.
  • Connect to web data with Power BI.
  • Clean and transform web data with Power BI.
  • Create data visualization with Power BI.
  • Publish reports to Power BI Service.
  • Transform less structured data with Power BI.
  • Connect to data source with excel.
  • Prep query with excel Power query.
  • Data cleaning with excel.
  • Create data model and build relationships.
  • Analyze data with Pivot Tables
  • Analyze data with Pivot Charts
  • Connect to data sources with Power BI
  • Join related data and create relationships with PowerBI

Module 9: Financial Data Storage With Cloud

  • NoSQL Overview.
  • Concepts of JSON repo.
  • Firebase Query Wizard.
  • Create, insert, delete, update query with cloud.
  • Python firebase. Firebase Application () connectivity.

Projects:-

  • Financial Planning REP –I
  • Financial Planning REP & VIZ –II
  • Financial Planning REP Custom Control –III

Who Can Enroll?

  • Finance Professionals
  • Business Analysts
  • Data Analysts
  • Business Students
  • Anyone seeking skills in Financial Analysis & Business Intelligence.

Course Outcomes:

  • Proficiency in financial analysis using Excel, Python, and Power BI.
  • Capability to create interactive financial dashboards and reports.
  • Skills to handle NoSQL databases for managing financial data.
  • Competence in building predictive models for business decision-making.
  • Ability to integrate various data sources for comprehensive analysis.

Career Opportunities:

  • Financial Analyst
  • Business Analyst
  • Data Analyst
  • Financial Data Scientist
  • Business Intelligence Specialist
  • Financial Consultant

Why Choose Us?

  • Best Choice for Financial Business Analysis Training: Aptech is a trusted name in education with decades of experience.
  • Expert Instructors: Learn from professionals with real-world knowledge.
  • KHDA-Certified Certificate: Enhance your credentials with a recognized certification.
  • Hands-On Learning: Practical projects to reinforce your skills.
  • Comprehensive Curriculum: Covering all essential tools and techniques.
  • Flexible Learning Options: Online or Offline — Available at your convenience.

Eligibility & Prerequisites:

  • Basic knowledge of finance and financial statements is an added advantage.
  • Familiarity with Excel and general data concepts.
  • Beginner-level programming knowledge (especially for Python sections).

Notes:

* Course topics and duration may be modified by the instructor based upon the knowledge and skill level of the course participants.

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