• 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.

• 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.

• 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.

• 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.

• 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.

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

• 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

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

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

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

• 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.

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

• 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.

• 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).

Step into the world of Financial Business Analysis with the all-inclusive course offered by Aptech Computer Training, the best choice for mastering financial analysis and data-driven decision-making. As a leading name in providing top-quality education with KHDA-certified training, Aptech empowers professionals and students alike with essential skills to effectively analyze financial data, build predictive models, and drive impactful business decisions using cutting-edge tools like Excel, Power BI, Python, and NoSQL databases.

This course is available at our branches in Dubai and Sharjah, providing flexible learning options for those in the UAE.

The Financial Business Analysis Course covers everything from fundamental concepts to advanced financial modeling and data visualization techniques. With a focus on hands-on training, projects, and practical assignments, you will gain expertise in handling diverse data sources, building analytical models, and presenting your findings in meaningful and actionable ways.

Whether you are a finance professional, a data analyst, or a business student looking to enhance your analytical capabilities, this course provides a structured learning path to meet your career goals. With Aptech Computer Training, you can be assured of a comprehensive and high-quality learning experience.