Global Certificate in Numeracy Insights & Analytics

-- viewing now

The Global Certificate in Numeracy Insights & Analytics is a comprehensive course designed to equip learners with essential skills in data analysis and interpretation. This course is crucial in today's data-driven world, where businesses rely heavily on numeracy insights to make informed decisions.

4.5
Based on 5,891 reviews

4,843+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

The course covers a wide range of topics, including statistical analysis, data visualization, and predictive modeling. It is designed to meet the growing industry demand for professionals who can interpret and apply numerical data effectively. By the end of this course, learners will have gained a solid foundation in numeracy insights and analytics, enabling them to analyze data, identify trends, and provide actionable insights. This skillset is highly sought after in various industries, including finance, healthcare, technology, and marketing. Investing in this course is an excellent way to enhance your career prospects, as it provides learners with the essential skills required to excel in data-focused roles. By leveraging the power of data, you can help drive business success and make a significant impact in your chosen field.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course Details

Numeracy Fundamentals: Understanding basic mathematical concepts and operations, including whole numbers, fractions, decimals, and percentages.
Data Analysis: Learning the principles of data analysis, such as data collection, cleaning, and interpretation.
Statistical Methods: Exploring various statistical techniques, such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis.
Data Visualization: Presenting data in a clear and effective manner using charts, graphs, and other visualization tools.
Data Modeling: Building mathematical models to predict outcomes and inform decision-making.
Machine Learning: Understanding the basics of machine learning algorithms, such as linear regression, logistic regression, and decision trees.
Big Data Analytics: Learning how to analyze large and complex datasets using distributed computing and big data tools.
Ethics in Data Analytics: Examining the ethical considerations surrounding data privacy, security, and bias.
Communication and Presentation Skills: Developing the ability to communicate complex data insights to non-technical audiences.

Career Path

The Global Certificate in Numeracy Insights & Analytics prepares professionals for various roles in the UK's thriving data industry. This 3D pie chart showcases the job market trends for data-related positions, emphasizing the demand for skilled individuals. - **Data Scientist**: Representing 25% of the market, data scientists use advanced analytics techniques to extract insights from structured and unstructured data. - **Data Analyst**: Making up 20% of the market, data analysts collect, process, and perform statistical analyses on data to identify trends and insights. - **Business Intelligence Analyst**: Accounting for 15% of the market, BI analysts use data analysis, visualization, and reporting to support business decision-making. - **Statistician**: With 10% of the market, statisticians analyze and interpret data to help make informed decisions in various industries. - **Data Engineer**: Representing 10% of the market, data engineers design, build, and maintain data systems for data storage, processing, and transportation. - **Data Visualization Specialist**: Comprising 10% of the market, data visualization specialists create visual representations of data to help communicate complex information. - **Machine Learning Engineer**: With 10% of the market, machine learning engineers design, develop, and implement machine learning systems and algorithms. This responsive Google Charts 3D pie chart highlights the diverse and in-demand roles in the UK's data landscape, offering valuable insights for those seeking to advance their careers in numeracy insights and analytics.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track: GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode: GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
GLOBAL CERTIFICATE IN NUMERACY INSIGHTS & ANALYTICS
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
SSB Logo

4.8
New Enrollment