What you'll get
  • 101+ Hours
  • 15 Courses
  • Course Completion Certificates
  • Self-paced Courses
  • Technical Support
  • Case Studies

Synopsis

  • Covers the fundamentals of data modeling, including predictive analytics and practical use of data modeling tools.
  • Provides one-year access to the full course content.
  • Open to anyone interested in learning data modeling and pursuing a career in this field.
  • Requires a basic understanding of data analytics and statistics.
  • Learners earn a Certificate of Completion after finishing the course.
  • Certification is official and verifiable, with unique links for each course and project, suitable for resumes or LinkedIn profiles.
  • Delivered as a self-paced video course, allowing learners to study at their own convenience.

Content

Courses No. of Hours Certificates Details
Card Purchase Prediction using R2h 28mView Curriculum
R Programming - Practical Data Science Using R4h 13mView Curriculum
R Programming for Data Science | A Complete Courses to Learn5h 7mView Curriculum
Courses No. of Hours Certificates Details
Minitab4h 27mView Curriculum
Predictive Modeling using Minitab15h 32mView Curriculum
Courses No. of Hours Certificates Details
SPSS:01 - Descriptive Statistics1h 13mView Curriculum
Predictive Modeling using SPSS13h 17mView Curriculum
Courses No. of Hours Certificates Details
SAS - Predictive Modeling with SAS Enterprise Miner9h 19mView Curriculum
Predictive Modeling Training1h 6mView Curriculum
Courses No. of Hours Certificates Details
EViews - Introductory Econometrics Modeling6h 39mView Curriculum
EViews - Advanced17h 12mView Curriculum
Courses No. of Hours Certificates Details
Splunk Fundamentals8h 33mView Curriculum
Courses No. of Hours Certificates Details
Statistical Tools in Excel1h 11mView Curriculum
HR Dashboard & Analytics - Beginners5h 13mView Curriculum
HR Dashboard & Analytics - Advanced8h 11mView Curriculum

Description

This Data Modeling course equips learners with the skills to design, structure, and analyze data effectively. It is ideal for professionals looking to transition into data modeling, students preparing for interviews, or anyone eager to master this in-demand technology. The course blends foundational and advanced topics, giving learners the practical skills and knowledge needed to excel in their careers. Participants gain hands-on experience, ensuring they are job-ready and confident in applying data modeling techniques in real-world scenarios.

Sample Certificate

Course Certification

Requirements

  • A solid grasp of certain foundational concepts is essential before diving into data modeling.
  • Understanding how databases function is crucial, as it enables learners to grasp data modeling better and focus on advanced topics rather than revisiting basic principles.
  • Understanding how a database stores data is equally important, as it helps learners structure and organize data efficiently.
  • While these concepts are primarily database-related, familiarity with them significantly eases the learning and application of data modeling techniques.

Target Audience

  • This Data Modeling Training is ideal for anyone eager to gain expertise in data modeling.
  • Professionals from other technology domains who wish to transition into data modeling will benefit, as the course introduces all concepts from the ground up, making the transition smooth.
  • Students preparing for data modeling interviews or seeking to enhance their skills for a new role will find this course valuable.
  • The training covers both fundamental and advanced data modeling concepts, equipping learners with the knowledge and confidence to succeed in their next career step.