Special Courses

Training Course: Data Science & Big Data Analytics


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SC235215

27 Apr - 1 May 2025

Cairo (Egypt)

Hotel : Holiday Inn & Suites Cairo Maadi, an IHG Hotel

Cost : 3575 € 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.

 

Training Program 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 (37)

SC235215

27 Apr - 1 May 2025

Cairo (Egypt) - Holiday Inn & Suites Cairo Maadi, an IHG Hotel

Hotel : Holiday Inn & Suites Cairo Maadi, an IHG Hotel

Cost: 3575 € Euro


  About Cairo

Cairo is a mesmerizing assortment of iconic monuments, bustling markets, and ancient sites encircled by a vast and sprawling metropolis. At its core lies a maze-like medieval quarter. A world away from the modern side of the city, it boasts a seductive blend of intricate mosques, jostling crowds, madrasas, and traditional hammams. No visit could be complete without visiting the awe-inspiring Giza Pyramids that preside over the city's horizon. Whether you come to delve into the city's ancient past, dive into colorful souqs, sip mint tea and contemplate thousands of years of history or explore the city's cosmopolitan side, you'll be left with memories to last a lifetime.


  Things to do and places to visit in Cairo

The multi-layered capital of Egypt offers its visitors lively markets, authentic restaurants, and a multitude of ancient sights and archeological findings. Gaze in wonder at the Pyramids, take an awe-inspiring look at Tutankhamen's burial mask, shop for handmade souvenirs in the bazaars or hop on a sunset cruise down the Nile and embrace the sensory overload that is Cairo.

Take a vacation in Cairo and you can:

  • Visit the Great Sphinx of Giza, one of Ancient Egypt's great mysteries.
  • Explore the ramparts of the Salah El-Din Citadel.
  • Join locals drinking coffee at Fishawi Café, one of Cairo's first cafes and most important meeting spots.
  • Marvel at the seemingly endless historical artifacts on display at the Egyptian Museum.
  • Learn about the Ummayad, Ottoman, and Ayyubbid dynasties and more at the Museum of Islamic Art.
  • Haggle for souvenirs and gifts at the Khan el-Khalili souk.
  • See one of the world's oldest universities at the Al-Azhar Mosque, one of the city's original mosques.
  • Take a tour of the showstopping Giza pyramids.
  • Savor local cuisine such as mezze in the old city.
  • Wander through the labyrinth-like streets of Coptic Cairo, the city's ancient quarter, and spot Roman relics.
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