Data Analyst: Data Analyst training Course

During the Data Analyst: Data Analyst course, you’ll engage with knowledge and real-life case studies as you develop practical skills and techniques for immediate application to data analyst projects, or within your organization. You will benefit from the unique pedagogy and multidisciplinary approach of Blackboard Learning—an institution at the forefront of research and online learning—as you develop data analyst skills to better understand the coding ESP, Python numbers & Booleans, and PHP and the factors that contribute to career success and failure.

Throughout this Data Analyst: Data Analyst (Data Analytics) course, developed by industry experts, you’ll get the opportunity to learn from experts with diverse experience. Guided by experts, the Data Analyst: Data Analyst (Data Analytics) course prepares you to become a change-maker with the skills to drive your career or organization forward.

Data Analyst: The Data Analyst (Data Analytics) course will demystify data analytics and give you the toolkit to make better contributions and become an even greater asset to your organization. It will also allow you to communicate more effectively and confidently about data analytics issues, whether it is with the relevant people in your own business or with those outside your workplace.

After completing the Data Analyst: Data Analyst (Data Analytics) course from Blackboard Learning, you will be more skillful with more knowledge, along with practical tips and advice that will help you to learn the essential aspects of data analytics. Skills development in data analytics leads you to career development in the data analytics sector.

Courses included in this Data Analyst: Data Analyst (Data Analytics) bundle course:

Enroll in the Data Analyst: Data Analyst (Data Analytics) course and get started with the Data Analyst: Data Analyst (Data Analytics) journey!

This Data Analyst: Data Analyst (Data Analytics) course is a course consisting of 4 courses with many data analytics-related topics.

You will get in this bundle course-

Course 1: SQL Queries 101

Course 2: Excel Data Analysis

Course 3: Building Robust Excel Models with Power Query, formulas, and VBA

Course 4: Access Databases Volume2 - Forms and Reports

Certificate of completion

Digital certificate - Included

The Data Analyst: Data Analyst (Data Analytics) course contains important modules that teach learners about their professional needs and succession. In the United Kingdom, Blackboard Learning is one of the most popular online Data Analyst: Data Analyst (Data Analytics) course providers. You will get a solid foundation of knowledge about data analytics in this Data Analyst: Data Analyst (Data Analytics) course. You will be able to think critically about Data Analyst: Data Analyst (Data Analytics) and comprehend basic data analytics theories and methods. This Data Analyst: Data Analyst (Data Analytics) course was created to provide you with the tools and methods you'll need to make a measurable effect in your career, whether your objective is to land a job, improve your abilities, or make a good influence in some other way.

Curriculum for Data Analyst: Data Analyst (Data Analytics) bundle courses:

Course 1: SQL Queries 101

• Unzipping the sample files.

• Creating the sample database.

• Basic Select Statements.

• Sorting the query with the order by statement.

• Using the where statement to filter the query.

• Creating subtotals using the group by statement.

• Introduction to using the join statement to create queries from more than 1 table.

Course 2: Excel Data Analysis

• Excel Data Analysis - Part 1

• Excel Data Analysis - Part 2

• Excel Data Analysis - Part 3

• Excel Data Analysis - Part 4

• Excel Data Analysis - Part 5

• Excel Data Analysis - Part 6

• Excel Data Analysis - Part 7

• Excel Data Analysis - Part 8

• Excel Data Analysis – Part 9

Course 3: Building Robust Excel Models with Power Query, formulas, and VBA

• Introduction.

• Prepaid expense models (resources).

• Accounting for prepaid expenses.

• Excel formulas detailed (Intro to three Excel models).

• Formula-based prepaid expenses model (schedule).

• Calculate prepaid expenses Amortization from the exact start date (payment date).

• Prepaid expenses summary with Power Query and Pivot Table.

• Advanced VBA prepaid expenses Amortisation model.

• Bonus: Dynamic dashboard for divisional profit and loss statement(easy way).

• Thank you and super bonus.

Course 4: Access Databases Volume2 - Forms and Reports

• Auto forms

• Form Wizard

• Changing a form with a design view

• Adding controls to your form

• Subforms

• Using auto report to create a report

• Using the report wizard to create a report

• Changing a report in the design view

• Adding calculations to your report

• Adding groups, sorts, and totals to reports

• Making labels with the label wizard

• Form and report properties

• Exporting a report to Excel

• Creating a menu with the switchboard manager

• Finalizing the application

Why Blackboard Learning:

Blackboard Learning is an online learning platform through which students from any corner of the world can learn their desired course. Using online learning, we assist students in realizing their full potential and advancing their careers. Today, our goal is to be the world's leading provider of online learning experiences with a global impact. By leveraging online learning, we assist students in preparing for bright futures in world-changing jobs. We provide a wide range of categories, including Accounting & IT, Programming, Creative, and more. Our courses are designed to stretch students intellectually through state-of-the-art online learning.

This Data Analyst: Data Analyst (Data Analytics) course is for anyone looking to develop their skills and knowledge in data analytics-related fields, as well as for those-

• Wants to enhance Data Analyst: Data Analyst (Data Analytics) related skills and knowledge.
• Use data analytics-related knowledge in his career or profession.
• Needs data analytics-related skills for new job applications and opportunities.
• Who wants to learn Data Analyst: Data analysis (Data Analytics) and apply it in real life?
• Anyone who wants to demonstrate Data Analyst: Data Analyst (Data Analytics) to prospective employers or jobs.
• Anyone who wants to apply Data Analyst: Data Analyst (Data Analytics) course-related skills and dive into relevant career paths.

Data Analyst: The Data Analyst (Data Analytics) course does not require prior knowledge or experience. Anyone with a PC, tablet, or mobile phone can do the Data Analyst: Data Analyst (Data Analytics) course. It would be ideal for the learner to have:

• An open mind, a spirit of self-inspection, and a willingness to improve himself/herself.
• A desire to improve business (and personal) knowledge and skills.
• The desire to enhance skills in data analytics.

This Data Analyst: Data Analyst (Data Analytics) course is exciting as it opens the doors to many professions related to data analytics. Prospective Data Analyst: Data Analyst (Data Analytics) course-related career paths that include but are not limited to

• Data analyst
• Data insight professional
• Business analyst

Currently there are no Q&As for this course. Be the first to ask a question.