Why is data analysis important?

Data analysis is the cornerstone of the accounting industry. As technology evolves and our ability
to process large quantities of raw data improves, you must develop the skills to:

  1. Find meaning in that data.
  2. Take action from your findings to drive positive results for your client, team, or organization.

Whether you work directly with sophisticated data analytics platforms or translate reporting into a “story” for other stakeholders, enhancing your ability to think critically and synthesize information will make you an indispensable member of the workforce.

An essential guide for accounting and finance professionals. Learn core concepts in data analytics and how to conduct and apply data analytics to projects in your organization.

  • Turn data into insights
    Be prepared to be effective no matter how your organization or industry changes by understanding
    key concepts — from framing the problem and defining the scope to understanding organizational
    requirements and gaps to effectively working with key stakeholders.
  • Data-driven mindset
    Develop the right mindset to help identify the problem and then recommend data-driven solutions.
  • Understanding data
    Understand the language of data analytics so you can communicate effectively about data analytics
    in your organization.
  • Real-world scenarios
    Using three scenarios covering revenue analysis, financial planning and analysis, and business
    performance, see how data analytics can be applied in practice.

This certificate is Part 1 of the Data Analyst Certificates Bundle – a comprehensive five-part program that
provides training and practical guidance on the topic of data analytics.

The Application of Data Analysis Essentials Certificate provides the core concepts and definitions of data
analytics, which explain the anatomy of data as a medium, and provides fundamental statistical analysis
techniques for beginning to glean useful information from data.

First, you will learn the different types of variables that make up a data set and perform meaningful calculations on data to discover and explore relationships that yield insights: central tendency, variability, probability, and distribution. Then we will delve into recognizing these qualities in their different forms and how to utilize them in practical business situations. This program offers straightforward exercises to help you practice and immediately apply what you’ve learned. You will also get exposure to and practice with useful concepts such as quartiles, variance, and standard deviation.

Finally, you will be introduced to one of the most powerful tools available for analyzing data: the open-source “R” platform. You will be guided through an actual use case for analyzing data using R and complete your learning by seeing how the statistical concepts you’ve just learned can be applied in a real-world example. by completing this certificate, you will have a solid grasp of core statistical techniques underpinning an analytics practice and practice using them in a simulated lab environment with step-by-step guidance

This certificate is Part 2 of the Data Analyst Certificates Bundle – a comprehensive five-part program that provides training and practical guidance on the topic of data analytics.

The Data Analytics Modeling Certificate will expand your ability to work with structured and unstructured data to drive a successful analytics practice. To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization’s strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You’ll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.

Learning Outcomes:

  • Identify opportunities, processes, and necessary data for solving analytical problems.
  • Apply data profiling and data cleansing techniques to available data.
  • Use data preparation and enrichment tools.
  • Use ETL (extract, transform, load) tools.
  • Compare data warehousing techniques.
  • Use data warehousing and data management tools.
  • Align the outcomes of your data analytics practice with your organization’s strategic direction and create value.

This certificate is Part 3 of the Data Analyst Certificates Bundle – a comprehensive five-part program that
provides training and practical guidance on the topic of data analytics.

The Forecasting and Predictive Analytics Certificate will teach you fundamental techniques used for predictive analytics: regression, classification, clustering, optimization, and simulation. Beginning with basic models for revealing and establishing relationships, you will learn to apply increasingly sophisticated modeling techniques for practical data analysis, as well as commonly encountered problems so you can determine the fit and usefulness for prediction of your models, and apply them to typical business problems.

As you develop your understanding of applied predictive analytics, you’ll learn how to perform basic
forecasting using time-based data to predict future values from a model. You will also learn how to model and calculate scenarios based on distance and space. You will get practice with classification, including naive Bayesian classification; create basic decision trees; and use various techniques for clustering and linear optimization to solve common business problems; as well as learn techniques for assessing the effectiveness of your solutions.

Learning Outcomes

  • Identify the different techniques of predictive analytics: regression, classification, clustering, optimization, and simulation.
  • Calculate varying types of regressions using R and Excel.
  • Apply classification and clustering algorithms.
  • Apply business process optimization to problems by identifying goals and constraints.
  • Analyze the various probabilities of outcomes by applying Monte Carlo simulation.
  • Calculate performance of predictive analytic algorithms

This certificate is Part 4 of the Data Analyst Certificates Bundle – a comprehensive five-part program that
provides training and practical guidance on the topic of data analytics.

The Data Visualization Certificate will guide you through every major facet of one of the most important areas
of your data practice — data visualization. Building from underlying technology, architecture, and analysis considerations, you will learn how to translate data into meaningful information, visualize the information, and communicate findings and lessons.

You will learn fundamental types of visualization techniques such as charts and graphs and explore a sampling of the most common reporting tools for producing meaningful visualizations. You will continue by developing an understanding of business intelligence (BI) — the overall architecture by which organizational data can be managed and understood. Additionally, you will examine the various components and technologies that make up effective BI and understand how they fit within the larger business.

Finally, you will be guided through fundamental design principles and communication concepts behind
effective dashboards and reports and how to present findings from data to other business stakeholders. This certificate ensures that your data analysis skills are demonstrated effectively so the leaders of your
organization understand your strategic value.

This certificate is Part 5 of the Data Analyst Certificates Bundle – a comprehensive five-part program that
provides training and practical guidance on the topic of data analytics.