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Data Analytics and Technology

Data Analytics and Technology

Original price was: $1,400.00.Current price is: $999.00.

Data is everywhere—it has become the new raw material powering modern businesses.
In today’s digital economy, organizations rely on professionals who can transform raw data into meaningful insights. Analytical skills are no longer just valuable—they are essential. As the demand for data-driven decision-making continues to rise, professionals who can extract hidden patterns and trends from complex datasets play a vital role in shaping marketing, operational, and strategic business decisions.

To uncover new market opportunities and drive innovation, businesses need individuals equipped with the tools and knowledge to turn data into actionable intelligence. Data Analytics is now a cornerstone of business performance, and new career paths are rapidly emerging for those who can harness its power.

The future belongs to those who can see opportunities before they become obvious.

In this course, you will learn how to:

  1. Connect to and gather data from a wide range of dynamic sources

  2. Apply advanced data cleansing techniques to prepare reliable datasets

  3. Structure and organize large volumes of data for high-quality analysis

  4. Build interactive dashboards with powerful visualizations using Microsoft Power BI

  5. Manage and query databases using Structured Query Language (SQL)

  6. Understand and implement strategies to protect financial and non-financial data from cyber threats

  7. Analyze large datasets and create predictive models using Python

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Description

  • n this course, you will learn to:

    • Identify the key characteristics of Data Analytics in Accounting and how to formulate relevant questions

    • Understand the different types and stages of data preparation (“Mastering the Data”)

    • Develop and execute a test plan, and analyze the resulting data

    • Communicate findings effectively using data visualizations

    • Understand the role and impact of data analytics in the modern accounting environment

    • Explore the applications and features of Audit Data Analytics

    • Analyze the role of Managerial Analytics in decision-making

    • Examine the use of Financial Statement Analytics for performance assessment

    • Understand how Tax Analytics supports compliance and planning

    • Recognize techniques to transform data into meaningful insights for reporting purposes

    • Identify the most commonly used tools in Data Analytics, including their core features:

      • Power BI

      • Tableau

      • R Programming

      • Python

      • Google Data Studio

      • SQL (Structured Query Language)

      • Emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML)

    • Explore practical applications of dashboards and data analysis for accountants

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