What you'll get
- 88+ Hours
- 22 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Provides full access to all 22 courses, including practical project work, eliminating the need to purchase individual courses.
- Offers more than 88 hours of immersive video learning, enabling an in-depth understanding of analytics concepts and applications.
- Covers a wide range of topics, including Business Analytics with SAS and R, Fraud and Customer Analytics, Marketing and Pricing Analytics, Financial Analytics, SEO and Video Analytics, Google Analytics, and several other advanced modules.
- Grants one year of complete course access, allowing learners to study at their own pace.
- Designed for individuals committed to building a strong career in Business Analytics, regardless of professional background.
- Suggests prior familiarity with R or SAS programming, which can enhance the learning experience.
- Awards a Certificate of Completion for each of the 22 courses, along with project certifications.
- Provides verifiable certificate links for every course, which learners can add to their résumés or LinkedIn profiles to highlight their upgraded expertise.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| SAS - Business Analytics using SAS | 10h 45m | ✔ | View Curriculum |
| Business Analytics using SAS Beginners | Business Analytics Courses | 8h 01m | ✔ | View Curriculum |
| Business Analytics using R - Hands-on! | 16h 21m | ✔ | View Curriculum |
| Business Analytics - Forecasting using R | 4h 34m | ✔ | View Curriculum |
| Card Purchase Prediction using R | 2h 28m | ✔ | View Curriculum |
| Fraud Analytics using R & Microsoft Excel | 2h 34m | ✔ | View Curriculum |
| Marketing Analytics using R and Microsoft Excel | 2h 9m | ✔ | View Curriculum |
| Customer Analytics using R and Tableau | 2h 7m | ✔ | View Curriculum |
| Pricing Analytics using R and Tableau | 2h 39m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Financial Analytics | 1h 6m | ✔ | View Curriculum |
| SEO Analytics Strategies- Content Marketing Tools | 2h 13m | ✔ | View Curriculum |
| Customer Analytics Course | 1h 02m | ✔ | View Curriculum |
| Marketing Analytics Course - The Fundamentals | 52m | ✔ | View Curriculum |
| Marketing Analytics | 2h 12m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Google Analytics | 4h 47m | ✔ | View Curriculum |
| Business & Data Analytics - Beginners | 2h 18m | ✔ | View Curriculum |
| Video Analytics Using Opencv and Python Shells | 2h 13m | ✔ | View Curriculum |
| Statistics Essentials for Analytics - Beginners | 2h 5m | ✔ | View Curriculum |
| HR Dashboard & Analytics - Beginners | 5h 13m | ✔ | View Curriculum |
| HR Dashboard & Analytics - Advanced | 8h 11m | ✔ | View Curriculum |
| QM for Windows - Analytics using QM | 2h 9m | ✔ | View Curriculum |
| Data Analytics with QlikView | 5h 54m | ✔ | View Curriculum |
Description
In the modern business landscape, organizations generate enormous volumes of data daily, making effective data analysis essential for achieving higher revenue and optimizing costs. Business Analytics enables companies to interpret this information using statistical, operational, and data-driven techniques, providing the quantitative tools needed to make informed decisions.
As businesses increasingly rely on big data sourced from internal and external systems, analytics helps enhance accuracy, strengthen strategies, and support smarter decision-making. Its core areas, descriptive, predictive, and prescriptive analytics, equip professionals to understand past trends, anticipate future outcomes, and recommend optimal actions.
The analytics process draws insights from business reports, cloud-based storage, and enterprise databases, transforming raw data into valuable opportunities for growth. When integrated effectively, Business Analytics plays a vital role in performance improvement, strategic planning, and operational efficiency.
A strong foundation in data warehousing and analytical concepts is beneficial, as Business Analytics is applied across multiple domains, including market analysis, inventory management, human resources, and pricing strategy. Key advantages include faster response times, enhanced decision-making speed, and the ability to uncover meaningful patterns that guide predictions and risk management.
Sample Certificate
Requirements
- Does not require prior technical expertise; individuals with a genuine interest or passion for market analysis and analytics can begin this training.
- Suitable for a wide range of professionals, including marketing managers, business owners, content creators, entrepreneurs, and others involved in marketing-driven roles.
- Learners with foundational skills in analytical programming will find it easier to navigate the Business Analytics curriculum effectively.
- A basic understanding of statistics and quantitative methods, along with prior exposure to QM1, is recommended for those pursuing the QM2 analytics module.
- For Customer Analytics, familiarity with marketing concepts and a basic grasp of statistical principles is advised.
Target Audience
- Ideal for learners looking to build strong analytical, business, and data-handling skills.
- Suited for researchers, statisticians, business analysts, and SAS programmers pursuing SAS Analytics.
- Designed for marketing professionals with finance or economics backgrounds interested in Market Analytics.
- Beneficial for finance executives and analysts aiming to advance in Financial Analytics.
- Valuable for technical admins, BI developers, and data warehouse specialists exploring HR Analytics.
- Appropriate for learners with basic Python and statistics knowledge entering Video Analytics.
- Relevant for market managers, business development professionals, IT managers, and information analysts seeking expertise in Customer Analytics.
