Dwi Yanti

Learning objectives:

• Define search engine optimization.
• Explore the fundamentals of reading search engine results pages.
• Examine the essentials of understanding keyword attributes.

Skills covered:

• Searc Engine Optimization (SEO).

Certifications: National Association of State Boards of Accountancy (NASBA).

Learning objectives:

• Apply the required hardware to successfully run Power BI.
• Distinguish between different data types in Power BI.
• Correlate the similarities between visualizations in Power BI.
• Identify the outcomes when changes are made within Power BI and Power BI Desktop.
• Differentiate between dashboards and reports within Power BI.
• Determine user roles within a workspace in Power BI.
• Manage workspaces and tools within the Power BI mobile application.

Skills covered:

• Microsoft Power BI.

Certifications: National Association of State Boards of Accountancy (NASBA).

Learning objectives:

• Installing R.
• Entering data.
• Packages for R.
• Importing XLS, XML, and JSON data.
• Visualizing data with ggplot2.
• Creating charts, histograms, scatterplots, and graphs.
• Converting data.
• Filtering cases and subgroups.
• Recoding data.
• Creating scale scores

Skills covered:

• Data Wrangling.
• R (Programming Language).
• Data Visualization.

Certifications: Linkedin Learning.

In today's data-driven world, the true value of information lies in its application. Statistics plays a pivotal role in transforming raw data into meaningful insights, empowering organizations to make informed decisions and accurate predictions. Whether in the world of business or academia, possessing a strong foundation in statistics is an invaluable asset.

Skills covered:

• Statistics
• Microsoft Excel

Certifications: Linkedin Learning.

Learning objectives;

• Describe the inherent ambiguity in data science projects.
• Define cognitive empathy and how it can be acquired.
• Differentiate the roles of skepticism, curiosity, persuasion, and diplomacy in professional data science.
• List appropriate activities for continuing professional development.
• Describe common interactions between scientists and senior executives.
• Describe when it is appropriate to limit detail in discussions.

Skills covered:

• Data Science

Certifications: Linkedin Learning - National Association of State Boards of Accountancy - NASBA.

This course commences with fundamental concepts, including essential calculations like mean, median, and standard deviation, include the central limit theorem. How to effectively visualize data, discern relationships, and predict future outcomes using Excel's versatile histograms, graphs, and charts. DIncluding hypothesis testing, modeling various data distributions, calculating covariance and correlation between datasets, as well as working with probabilities, combinations, and permutations.

Skills covered:

• Microsoft Excel

Certifications: Linkedin Learning.

Learning objectives:

• Knowing how to search and how to found keywords.
• Learning to use SEO keyword tools.
• Create and study keyword list.

Skills covered:

• Search Engine Optimization (SEO)

Certifications: Linkedin Learning.

Learning objectives:

• Recognize the skills of a data analyst.
• Apply SQL statements using the correct syntax.
• Interpret existing data.
• Explain how data is cleaned.
• Demonstrate how to use joins.
• Identify different types of data.
• Describe how to model data.

Skills covered:

• Data Analytics

Certifications: Linkedin Learning - National Association of State Boards of Accountancy (NASBA).

In this course, focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine next steps. How exploring data with graphs and describing data with statistics can help reach goals and make better decisions. How to prepare and adapt data, explore it visually, and use statistical methods to describe it.

Skills covered:

• Data Science.

Certifications: Linkedin Learning.

Tableau is a powerful and versatile data analytics and visualization tool for data science work. Its drag-and-drop interface makes it easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and cloud-based data repositories. In this course, learning how to analyze and display data using Tableau 2023. Learning install Tableau, connect to data sources, and sort and filter data.

Learning objectives:

• Explain where a user would navigate to seek specific help in Tableau.
• Determine the best approach for using Excel in Tableau.
• Interpret how to use the features and functions of Tableau when creating charts.
• Describe how best to manage data in a worksheet or visualization.
• Explain how to create a selection filter for certain values.
• Explain how to manage data for different chart formats.

Skills covered:

• Tableau

Certifications: Linkedin Learning

Learning objectives:

• Differentiate between the roles and responsibilities for team members.
• Describe the purpose of a RACI matrix.
• Identify the elements of a team charter.
• Determine how best to manage conflict within teams.
• Interpret which approaches should be used to manage virtual teams and cross-cultural team communications.

Skills covered:

• Team Collaboration

Certifications: Linkedin Learning - National Association of State Boards of Accountancy (NASBA).