The Credential of Data Analytics for Business

The Credential of Data Analytics for Business is the most comprehensive programme offered by the London School of Business Administration in the field of analytics. It is designed for learners who want to gain mastery over the full spectrum of data analytics, from fundamentals to advanced applications, preparing them to excel in today’s data-driven business landscape.

This self-paced programme consists of eight specialised courses, each with a recommended duration of 20 hours, for a total learning commitment of 160 hours. Participants will acquire both technical expertise and strategic insight, enabling them to analyse data, build predictive models, create compelling visualisations, manage Big Data, and apply machine learning to complex business problems.

Programme Structure:

The programme comprises eight integrated courses, offering a complete learning journey:

1. Data Analytics Fundamentals
   Covers the analytics lifecycle, data collection, preparation, exploratory analysis, statistical methods, visualisation basics, machine learning concepts, and ethical considerations.

2. Advanced Excel for Business
   Focuses on advanced Excel techniques, including Power Query, pivot tables and charts, Power Pivot, financial modelling, forecasting, automation with Macros and VBA, and dashboard design.

3. Data Visualisation
   Provides training in advanced visualisation principles, interactive dashboards, geospatial mapping, storytelling with data, accessibility standards, and emerging technologies like AR/VR.

4. Statistical Analysis for Business
   Explores probability, hypothesis testing, ANOVA, regression, multivariate and non-parametric methods, Bayesian statistics, Monte Carlo simulations, and statistical reporting.

5. Predictive Analytics
   Equips learners with forecasting and predictive modelling skills using regression, classification, time series analysis, machine learning, model evaluation, and deployment in business contexts.

6. Machine Learning for Business
   Introduces supervised and unsupervised learning, feature engineering, model evaluation, time series forecasting, NLP, deep learning, and ethical deployment of AI in business.

7. Big Data Management
   Covers Big Data architectures, storage solutions, data processing with Spark and MapReduce, governance, cloud computing, ETL processes, security, and integration with machine learning.

8. Data-Driven Decision Making
   Focuses on applying analytics to strategic decisions, real-time data use, decision-making frameworks, visualisation for decision support, predictive analytics, and ethical considerations.

Learning Outcomes: 

By completing the programme, learners will be able to:

• Demonstrate comprehensive expertise in data analytics across multiple domains, from fundamentals to machine learning and Big Data.

• Apply statistical, predictive, and machine learning techniques to solve complex business problems and optimise decision-making.

• Design and present advanced visualisations and dashboards that communicate insights effectively to technical and non-technical stakeholders.

• Utilise advanced tools, frameworks, and platforms such as Excel, Power BI, Big Data solutions, and cloud technologies for scalable analytics.

• Implement data governance, security, and ethical practices to ensure responsible analytics in business contexts.

• Develop a strategic data-driven mindset, leveraging analytics for innovation, efficiency, and competitive advantage.

Learning Materials: 

Participants will benefit from an engaging set of resources:

• Recorded video lectures offering step-by-step instruction.

• Visual slides and reference guides for structured learning.

• Case studies and real-world examples highlighting practical business applications.

• Hands-on exercises and datasets for skill-building and application of learned techniques.

Assessment: 

Each course concludes with an online quiz comprising 20–30 multiple-choice questions (MCQs). Learners are required to complete all eight assessments to qualify for certificates. Unlimited attempts are provided, ensuring learners can achieve mastery at their own pace.

Mode of Study: 

The programme is delivered entirely online and is fully self-paced, allowing participants to balance their professional and personal commitments while studying. It is suitable for professionals, managers, entrepreneurs, and students seeking to gain advanced, industry-relevant skills in data analytics.

Sample Lecture:

Certification:

Upon successful completion, learners will receive:

• Eight individual course certificates (one for each completed course).

• An Advanced Professional Certificate in Data Analytics for Business with a transcript of records.

• The prestigious Credential of Data Analytics for Business with a transcript of records, signifying the highest level of achievement in this field at London School of Business Administration.