Special Courses

Training Course: Data Science & Big Data Analytics


Register Now
Quick Inquiry
Discount Group Download Brochure (40)

SC235215

17 - 21 Feb 2025

London (UK)

Hotel : Landmark Office Space - Oxford Street

Cost : 5775 € Euro

Introduction

In today's data-driven world, the ability to extract meaningful insights from vast amounts of data is a critical skill. Data Science and Big Data Analytics have become essential disciplines, empowering organizations to make informed decisions, optimize processes, and gain a competitive edge. This 5-day training program is designed to provide participants with a comprehensive introduction to the fundamental concepts and tools of Data Science and Big Data Analytics. Whether you're a professional looking to upskill or someone eager to explore the world of data, this program will equip you with the knowledge needed to navigate the data landscape effectively.

Objectives

The primary objectives of this 5-day training program are as follows:

  • Introduction to Data Science: Provide participants with a solid understanding of the Data Science workflow and its significance in various industries.

  • Data Analysis with Python: Familiarize participants with Python, a powerful programming language for data analysis, and equip them with the skills to clean, preprocess, and visualize data.

  • Machine Learning Fundamentals: Introduce participants to the core concepts of machine learning, including supervised and unsupervised learning, model evaluation, and cross-validation.

  • Advanced Machine Learning: Dive deeper into advanced machine learning topics such as clustering, dimensionality reduction, and ensemble learning.

  • Big Data Technologies: Explore the world of Big Data, including Hadoop and Apache Spark, and learn how to process and analyze large datasets efficiently.

  • Hands-on Experience: Although not explicitly included in this program outline, participants are encouraged to practice what they learn through hands-on exercises and independent projects outside of the training hours.

Target Audience

This training program is suitable for a diverse range of individuals, including:

  • Professionals: Data analysts, business analysts, software developers, and IT professionals looking to transition into Data Science and Big Data roles or enhance their existing skills.

  • Students: Undergraduates or postgraduates in computer science, data science, or related fields seeking a foundational understanding of Data Science and Big Data Analytics.

  • Entrepreneurs and Managers: Business owners, entrepreneurs, and managers interested in leveraging data-driven insights to improve decision-making and business strategies.

  • Anyone Curious About Data: Individuals with a general interest in data and analytics who want to explore the world of Data Science and Big Data Analytics.

Outline

Day 1: Introduction to Data Science and Python for Data Analysis

  • Overview of Data Science

  • Data Science Workflow

  • Introduction to Python for Data Analysis

  • Data Cleaning and Preprocessing

  • Basic Data Visualization

Day 2: Machine Learning Fundamentals

  • Introduction to Machine Learning

  • Supervised Learning: Linear Regression, Logistic Regression

  • Supervised Learning: Decision Trees, Random Forests

  • Model Evaluation and Cross-Validation

Day 3: Advanced Machine Learning and Big Data

  • Unsupervised Learning: Clustering (K-Means, Hierarchical)

  • Dimensionality Reduction (PCA)

  • Introduction to Big Data and Hadoop

  • Introduction to Apache Spark

Day 4: Big Data Analytics with Spark

  • Spark Fundamentals and RDDs

  • Spark DataFrames and Spark SQL

  • Spark Machine Learning (MLlib)

  • Data Analysis with Spark

Day 5: Conclusion and Recap

  • Review of Key Concepts

  • Discussion on Real-World Applications

  • Q&A and Discussion with Participants

  • Graduation and Certificate Distribution

Special Courses

Training Course: Data Science & Big Data Analytics


Register Now
Quick Inquiry
Discount Group Download Brochure (40)

SC235215

17 - 21 Feb 2025

London (UK) - Landmark Office Space - Oxford Street

Hotel : Landmark Office Space - Oxford Street

Cost: 5775 € Euro


  About London

The UK capital of London is a city that combines the old and the new. It is as equally famous for the latest fashion and innovation as it is for its impressive heritage. London's attractions range from the Royal Palace to the DIY atmosphere of its markets. It is also a picturesque city of parks and of course, the majestic Thames River. The city extends for miles beyond its ancient core and each neighborhood has its own charming atmosphere for visitors to explore. London also wears its status as a world city proudly and the influence of different cultures is plain to see in the food and fashion of the capital.


  Things to do and places to visit in London

With so many attractions in London, anyone can find something to delight them. Art lovers will enjoy the world-renowned museums and galleries, most of which are free. Sports fans are spoilt for choice by the city's array of football clubs. Theatre and music fans have a vast list of venues to visit, whilst shopaholics have Harrods, Oxford Street, Camden and much more to look forward to after arranging flights to London.

Some unmissable London attractions include:

  • Seeing priceless masterpieces in the Tate Britain or the National Gallery.
  • Watching the changing of the guard at Buckingham Palace.
  • Visiting Trafalgar Square's famous monument.
  • Marveling at the Crown Jewels in the Tower of London.
  • Getting a bird's eye view of the city from the London Eye.
  • Tasting one of Brick Lane's famous curries.
  • Browsing the exclusive shops of Knightsbridge.
  • Visiting a market – Spitalfields for antiques, Camden for clothes or Borough Market for street food.
  • Admiring design from around the world in the Victoria and Albert Museum.
  • Looking for clues at the home of fiction's most famous detective, Sherlock Holmes.
  • Strolling through one of the lovely parks, including Hyde Park, St James' Park or Kew Gardens.
  • Eating Britain's most famous dish, fish and chips.
  • Watching the street performers in Covent Garden.
  • Enjoying the views at a South Bank cafe.
 22 Portman Square, Marylebone, London W1H 7BG, UK
 3 Oudai street, Aldouki, Giza, Giza Governorate, Egypt
 0020233379764
 00201095004484
 00201102960555
 00201102960666
 19 Mayıs Mahallesi, 19 Mayis Street No 2 Sisli, 34360 Istanbul/Turkey
 00905357839460
 Australia Street, Raouche Beirut, Lebanon .، Beirut, Lebanon
 0096181746278
 811 Massachusetts Avenue, Boston, Massachusetts, 02118, USA
 6 Beirut Street - Fifth Circle Abdoun, P.O. Box 831370, 11183 Amman, Jordan
Copyright Global Horizon Training Center © 2019