Advanced Data Analysis Techniques

Available Dates

Venue

Nov-11-2024

London
Nov-11-2024

Amsterdam
Nov-18-2024

Kuala Lumpur
Nov-18-2024

Istanbul
Nov-25-2024

Singapore
Nov-25-2024

Paris
Dec-02-2024

Dubai
Dec-02-2024

Barcelona
Dec-09-2024

Amsterdam
Dec-09-2024

London
Dec-16-2024

Kuala Lumpur
Dec-16-2024

Istanbul
Dec-23-2024

Dubai
Dec-23-2024

Paris
Dec-30-2024

Barcelona
Dec-30-2024

Singapore
Jan-06-2025

London
Jan-06-2025

Amsterdam
Jan-13-2025

Barcelona
Jan-13-2025

Dubai
Jan-20-2025

Istanbul
Jan-20-2025

Kuala Lumpur
Jan-27-2025

Singapore
Jan-27-2025

Paris
Feb-03-2025

London
Feb-03-2025

Amsterdam
Feb-10-2025

Dubai
Feb-10-2025

Barcelona
Feb-17-2025

Istanbul
Feb-17-2025

Kuala Lumpur
Feb-24-2025

Singapore
Feb-24-2025

Paris
Mar-03-2025

Amsterdam
Mar-03-2025

London
Mar-10-2025

Dubai
Mar-10-2025

Barcelona
Mar-17-2025

Kuala Lumpur
Mar-17-2025

Istanbul
Mar-24-2025

Paris
Mar-24-2025

Singapore
Apr-07-2025

Amsterdam
Apr-07-2025

London
Apr-14-2025

Dubai
Apr-14-2025

Barcelona
Apr-21-2025

Istanbul
Apr-21-2025

Kuala Lumpur
Apr-28-2025

Paris
Apr-28-2025

Singapore
May-05-2025

London
May-05-2025

Amsterdam
May-12-2025

Barcelona
May-12-2025

Dubai
May-19-2025

Istanbul
May-19-2025

Kuala Lumpur
May-26-2025

Paris
May-26-2025

Singapore
June-02-2025

London
June-02-2025

Amsterdam
June-09-2025

Dubai
June-09-2025

Barcelona
June-23-2025

Istanbul
June-23-2025

Kuala Lumpur
June-23-2025

Singapore
June-30-2025

London
June-30-2025

Paris
June-30-2025

Amsterdam
July-07-2025

Amsterdam
July-07-2025

London
July-14-2025

Dubai
July-14-2025

Barcelona
July-21-2025

Istanbul
July-21-2025

Kuala Lumpur
July-28-2025

Singapore
July-28-2025

Paris
Aug-04-2025

London
Aug-04-2025

Amsterdam
Aug-11-2025

Barcelona
Aug-11-2025

Dubai
Aug-18-2025

Istanbul
Aug-18-2025

Kuala Lumpur
Aug-25-2025

Paris
Aug-25-2025

Singapore
Sep-01-2025

Amsterdam
Sep-01-2025

London
Sep-08-2025

Dubai
Sep-08-2025

Barcelona
Sep-15-2025

Kuala Lumpur
Sep-15-2025

Istanbul
Sep-22-2025

Singapore
Sep-29-2025

London
Sep-29-2025

Paris
Sep-29-2025

Amsterdam
Oct-06-2025

London
Oct-06-2025

Amsterdam
Oct-13-2025

Dubai
Oct-13-2025

Barcelona
Oct-20-2025

Kuala Lumpur
Oct-20-2025

Istanbul
Oct-27-2025

Singapore
Oct-27-2025

Paris
Nov-03-2025

London
Nov-03-2025

Amsterdam
Nov-10-2025

Dubai
Nov-10-2025

Barcelona
Nov-17-2025

Kuala Lumpur
Nov-17-2025

Istanbul
Nov-24-2025

Paris
Nov-24-2025

Singapore
Dec-01-2025

London
Dec-01-2025

Amsterdam
Dec-08-2025

Dubai
Dec-08-2025

Barcelona
Dec-15-2025

Kuala Lumpur
Dec-15-2025

Istanbul
Dec-22-2025

Singapore
Dec-29-2025

London
Dec-29-2025

Amsterdam
Dec-29-2025

Paris

Course Details

In today's world, data is being generated at an unprecedented rate, and extracting valuable insights from this data has become a critical skill for businesses and organizations. This course is designed to help you develop the necessary skills and knowledge to tackle advanced data analysis challenges, ranging from exploratory data analysis to machine learning, time series analysis, Bayesian data analysis, and big data analytics.

Over the course of five days, you will learn about various techniques and tools used in the data analysis process, including data visualization, data modelling, and machine learning algorithms. You will also learn how to work with time series data, understand Bayesian statistics, and tackle big data analytics challenges using distributed computing tools such as Hadoop and Spark.

Throughout the course, you will have the opportunity to work on hands-on exercises using popular programming languages such as Python and libraries such as Scikit-learn, Statsmodels, and Spark MLlib. By the end of this course, you will have a strong foundation in advanced data analysis techniques that will enable you to solve complex data analysis challenges with confidence.

Develop a strong foundation in advanced data analysis techniques, including exploratory data analysis, machine learning, time series analysis, Bayesian data analysis, and big data analytics.
Gain hands-on experience using popular data analysis tools and programming languages, such as Python, Scikit-learn, Statsmodels, and Spark MLlib.
Learn how to tackle complex data analysis challenges, such as outlier detection, trend analysis, and predictive modeling, using advanced techniques and tools.
Develop critical thinking and problem-solving skills that are necessary for working with large and complex datasets.
Apply the knowledge and skills gained in this course to real-world data analysis projects, and confidently present findings and insights to stakeholders.

This course is ideal for individuals who have a basic understanding of data analysis and are looking to expand their knowledge and skills to tackle more complex and advanced data analysis tasks. This course is relevant for professionals from various industries, including finance, healthcare, marketing, and technology.

The course is suitable for data analysts, data scientists, business analysts, and anyone who works with data and wants to learn advanced techniques for data analysis. This course is also relevant for researchers, academics, and students who are looking to gain practical experience in data analysis techniques.

Additionally, individuals who are involved in decision-making and strategic planning will also benefit from attending this course. Managers, executives, and consultants who work with data will gain insights into how advanced data analysis techniques can be used to make informed decisions and drive business success.

Overall, this course is suitable for anyone who wants to gain a deeper understanding of advanced data analysis techniques and learn how to apply them to real-world data analysis challenges.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

Exploratory Data Analysis