Introduction to Accounting Data Analytics and Visualization

Accrediations

University of Illinois at Urbana-Champaign

Durartion of the Course

19 Hours

Course Fee

$80

Mode of Learning

Self-Paced

What is The Course All About?

The course delves into Data Analysis, Predictive Analysis, and Data Visualization skills, encapsulating everything from dissecting data intricacies to foreseeing trends, and presenting data-driven insights in visually compelling ways. This comprehensive 19 hours online self-paced learning experience, titled ‘The Complete Software Engineering Course with Python,’ is facilitated by Udemy. It empowers participants with crucial proficiencies in Python, MySQL, and Object-Oriented Programming. Notably, the program goes beyond theoretical knowledge, incorporating hands-on learning with contemporary tools and real-world case studies that catalyze career advancement in today’s data-centric landscape.

Who is the Course Meant For?

Being an intermediate-level course, Introduction to Accounting Data Analytics and Visualization is an ideal entry-level course for learners like:

Freshers who want to build their career in Data Analytics
Professionals who want to upskill themselves in their existing skillset.
Any individuals looking for a new career in Data Analytics or who want to upskill themselves in the same.

Skills: What does this program cover?

Depth and Breadth of Topics
ⓘ
- Range of topics covered. - Number of topics, comprehensiveness (introductory to advanced)
- Theoretical vs. practical balance
- Alignment with industry standards and current trends
Not Applicable
Case Studies
ⓘ
- Number and variety of case studies
- Relevance of case studies to the course topic and target audience
Not Applicable
Tools
ⓘ
- Use of industrystandard tools and technologies
- Handson experience with tools
Not Applicable
Capstone Projects/Real World Application
ⓘ
- Presence of a project or practical application
- Complexity and scope of the project
Not Applicable

Skills: NaN /30

Faculties: Who are the experts behind the course?

Academic/Industry Exp.
ⓘ
- Educational background
- Work experience in relevant industries
Not Applicable
Teaching Experience
ⓘ
- Experience teaching similar courses or topics
- Teaching style and approach (engaging, clear, accessible)
Not Applicable
Industry Recognition
ⓘ
- Awards and recognition in the field
- Contributions to opensource projects, communities, or publications
Not Applicable

Faculties: 0 /20

Delivery Methods: How Is the program delivered?

Live Interaction
ⓘ
- Availability of live lectures, Q&A sessions, or webinars
- Provide direct interaction and realtime clarification of concepts
- Quality and effectiveness of live interactions
Not Applicable
Self-Paced
ⓘ
- Flexibility in scheduling and pacing
- Prerecorded videos covering lectures, tutorials, demonstrations, and supplemental content, allowing students to engage with course material flexibly.
- Quality and availability of selfpaced materials (videos, readings, exercises)
Not Applicable
Assessment
ⓘ
- Variety of assessment types (quizzes, assignments, projects)
- Alignment of assessments with learning objectives
- Quality and timeliness of feedback on assessments
Not Applicable
Community
ⓘ
- Presence and activity of online forums, discussion boards, or other community spaces
- Level of engagement and support from instructors and moderators
Not Applicable
Collaborative
ⓘ
- Opportunities for group projects, peer review, or other collaborative activities
Not Applicable

Delivery Methods: 0 /30

Career Assistance: How does the program support career growth?

Mentoring
ⓘ
- Availability of personalized guidance and support from mentors or career coaches
Not Applicable
Personalized Assistance
ⓘ
- Availability of career Assessments (personality, skills, interests) to help learners understand their strengths and potential career paths
Not Applicable
Alumni Network
ⓘ
- Active alumni network for networking
Not Applicable
Industry Partnerships
ⓘ
- Partnerships with companies
Not Applicable

Career Assistance: 0 /15

Student Satisfaction and Feedback: What Do Students Say About the Course?

Feedback & Improvement
ⓘ
- Quantity and quality of student reviews
- Responsiveness of course providers to feedback
- Evidence of continuous improvement in the course content and delivery
Not Applicable

Alumini Feedback: 0 /5

Benchmark Labels:

Strong (75-100%): This indicates the course demonstrates exceptional strengths in this area, exceeding expectations.

Moderate (50-74%): This signifies the course performs adequately in this area, covering essential aspects.

Limited (25-49%): This highlights areas where the course could significantly improve to provide a more comprehensive learning experience.

Very Limited (1-24%): This indicates that coverage in this area may be minimal, or even non-existent.

Not Applicable: This indicates that this criteria is not applicable for this course.