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Professional training course

Certificate in Data Science (CDS)

The Certificate in Data Science course offers participants an in-depth understanding of Data Science best practices and provides a foundational overview of the Big Data…

  • 5 daysClassroom
  • 14Upcoming dates
  • 6Cities
  • £2,250Fees from

Course overview

Why Attend

The Certificate in Data Science course offers participants an in-depth understanding of Data Science best practices and provides a foundational overview of the Big Data ecosystem and Artificial Intelligence opportunities. It goes beyond analytics, encompassing all disciplines connected to modern data. By the end of the course, participants will gain expertise in advanced techniques and technologies, enabling them to extract valuable insights from data and collaborate effectively with professionals in advanced data management fields.

Course Methodology

All analytical methods and solutions are elaborated with step-by-step case studies with practical, hands on experiences. An exhaustive documentation will cover analytical topics with an exclusive face-to-face comparison between SAS, SPSS, STATISTICA, Excel, R and Python.

Course Objectives

By the end of the course, participants will be able to:

  • Understand and structure data for effective analysis
  • Evaluate solutions for Data Analysis versus Machine Learning
  • Distinguish between predictive models and pattern-detection models
  • Make informed choices between proprietary and open-source technologies
  • Map the modern data workflow from raw sources to finalized reports
  • Oversee Data Science projects using project management best practices
Target Audience

This course is for specialists who aspire to become accustomed with data science components, and how they can be applied coordinately to solve data and business problems, as well as research issues. The course is specifically suited for managers and persons involved in marketing, CRM, research, manufacturing, quality control, app developers and IT analysts from almost any sector, such as banks, insurance companies, retail, governments, manufacturers, healthcare, telecom, transport and distributors.

Target Competencies
  • Business data analysis
  • Data analytic validity
  • Judging AI algorithms
  • Evaluating IoT platforms
  • Comparing big data results


Course outline

  1. 1Day 1: Data Analysis and Visualization
    • Understanding data types and visualization techniques
    • Assessing the representativeness of data
    • Summarizing data using descriptive statistics
    • Profiling multiple groups with statistical tests
    • Creating advanced visualizations with smart charts
    • Simple Linear Regression and Logistic Regression
    • Identifying and addressing outliers
  2. 2Day 2: Machine Learning – Supervised
    • Multiple Linear and Logistic Regression
    • Discriminant Analysis: Functions and probabilistic models
    • Decision Trees: CART, CHAID, and Random Forests
    • Support Vector Machines and K-Nearest Neighbors
    • Naïve Bayes
    • Neural Networks, Deep Learning, and AI applications
  3. 3Day 3: Business Intelligence Forecasting – R vs. Python
    • Fundamentals of Business Intelligence
    • Data collection and database sources
    • ETL processes (Extract, Transform, Load)
    • Data storage: Warehouses, marts, and lakes
    • Analytics tools: BI platforms, OLAP, dashboards, etc.
    • Forecasting methods and trend analysis
    • Exponential smoothing (additive and multiplicative)
    • Time Series Analysis and ARIMA models
    • Comparison of R and Python in statistical tests and ML algorithms
  4. 4Day 4: Machine Learning: Unsupervised & Project Management for Data Scientists (PMP)
    • Machine Learning: Unsupervised
    • Principal Component Analysis (PCA)
    • Clustering techniques: Hierarchical and K-Means
    • Simple Correspondence Analysis
    • Multidimensional Scaling
    • Quadrant Analysis
    • Project Management for Data Scientists (PMP)
    • Introduction to PMP for Data Science projects
    • Managing integration, scope, and cost
    • Handling time, quality, and communication
    • Risk management, procurement, and stakeholder engagement
  5. 5Day 5: IoT and Big Data Ecosystem
    • Essentials of IoT, M2M, and embedded systems
    • Basic IoT communication protocols
    • Big Data fundamentals: “Where” and “When”
    • Distributed file systems with HDFS
    • Comparing MapReduce and Spark for data sharing
    • Overview of the Big Data ecosystem: Spark, MongoDB, Cassandra, Flume, Cloudera, Oozie, and Mahout

Schedule

Dates and fees

14 upcoming dates in 6 cities. Fees are per delegate; bring colleagues and every seat is discounted.

All dates as PDF
November 2026
16NOV 16 - 20 Nov 2026Mon to Fri · 5 daysNext session
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
December 2026
7DEC 7 - 11 Dec 2026Mon to Fri · 5 daysOur home city
United Kingdom flag LondonUnited Kingdom · Classroom
£4,200per delegate2+ people: £3,360 each
January 2027
11JAN 11 - 15 Jan 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
February 2027
8FEB 8 - 12 Feb 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
March 2027
8MAR 8 - 12 Mar 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
April 2027
12APR 12 - 16 Apr 2027Mon to Fri · 5 days
Italy flag RomeItaly · Classroom
£4,250per delegate2+ people: £3,400 each
May 2027
10MAY 10 - 14 May 2027Mon to Fri · 5 days
Malaysia flag Kuala LumpurMalaysia · Classroom
£2,250per delegate2+ people: £1,800 each
June 2027
14JUN 14 - 18 Jun 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
July 2027
12JUL 12 - 16 Jul 2027Mon to Fri · 5 days
Switzerland flag GenevaSwitzerland · Classroom
£5,250per delegate2+ people: £4,200 each
August 2027
9AUG 9 - 13 Aug 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
September 2027
13SEP 13 - 17 Sep 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
October 2027
11OCT 11 - 15 Oct 2027Mon to Fri · 5 days
Germany flag FrankfurtGermany · Classroom
£3,250per delegate2+ people: £2,600 each
November 2027
8NOV 8 - 12 Nov 2027Mon to Fri · 5 days
Italy flag RomeItaly · Classroom
£4,250per delegate2+ people: £3,400 each
December 2027
13DEC 13 - 17 Dec 2027Mon to Fri · 5 days
Malaysia flag Kuala LumpurMalaysia · Classroom
£2,250per delegate2+ people: £1,800 each

Questions

Frequently asked questions

How long is the Certificate in Data Science (CDS) course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Certificate in Data Science (CDS) course?

The next public date is 16 - 20 Nov 2026 in Barcelona. There are 14 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Barcelona, London, Frankfurt, Rome, Kuala Lumpur, Geneva.

How much does the course cost?

Fees start from £2,250 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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Training a team?

Any course in our catalogue can be delivered privately for your organisation, at your offices or in one of our cities, with content shaped around your goals.