DABP
Data Analytics for Business with Python
19 May 2024 Ramallah




Course Overview

In today's data-driven business landscape, proficiency in data analytics has become a fundamental skill for professionals across various domains. The "Business Data Analytics with Python" training course provides a comprehensive learning experience tailored to equip participants with essential skills in data analysis using Python programming language.

This course covers a wide array of topics essential for effective data analysis, including data acquisition, cleaning, preprocessing, exploratory data analysis (EDA), and data visualization. Participants will delve into foundational concepts of data analytics, mastering Python programming specifically tailored for data analysis applications. Through hands-on modules, they will learn to collect and manipulate data from diverse sources using APIs, Excel, and CSVs, while effectively utilizing Pandas library for data manipulation.

The course emphasizes the importance of data visualization techniques using Matplotlib and Seaborn, enabling participants to create meaningful visualizations and effectively communicate insights to stakeholders. Throughout the training, participants will develop essential skills in storytelling and reporting, enhancing their ability to convey findings derived from data analysis.

Designed for a diverse audience including business analysts, managers, executives, and professionals in sales, marketing, and finance, this course welcomes individuals with varying levels of expertise in Python and programming. With no prior Python experience required, this course caters to absolute beginners, providing a supportive learning environment for skill development.

By the end of the 40-hour training, participants will emerge with a solid foundation in data analytics principles, equipped with practical skills to acquire, clean, analyze, and visualize data effectively using Python. Whether aiming to enhance professional capabilities or delve into the realm of data science, this course offers invaluable insights and practical knowledge for individuals seeking to excel in data-driven decision-making processes.


Learning Outcomes

  • Provide participants with a solid foundation in the basic principles of data analytics.
  • Equip participants with the skills to acquire, clean, and preprocess data effectively.
  • Teach participants how to conduct Exporatory Data Analysis (EDA) to extract meaningful insights from data.
  • Focus on data visualization techniques and communicate findings effectively.
     

Who It's For

This course is ideal for:

  • Business Analysts
  • Managers and Executives
  • Sales/Finance/Marketing Professionals
  • Entrepreneurs and Decision Makers
  • Anyone Interested in Data Analysis or Data Science

Prerequisites

  • No prior Python experience required. This course is designed for absolute beginners in Python and
  • Programming. No prior coding experience is necessary.
  • Participants should have access to a computer during all training sessions.

Run this course

IN-HOUSE

COURSE OUTLINE

MODULE 1
  • Data analytics concepts, techniques, applications
  • Types of data and data sources
  • Data analytics process
MODULE 3
  • Acquire skills in collecting data using APIs , Excel, CSVs
  • Manipulate data effectively with Pandas library
MODULE 5
  • Learn techniques to identify and handle issues such as missing data, outliers, and inconsistency
  • Normalize and scale data for analysis
MODULE 2
  • Master the fundamentals of Python programming tailored for data analysis applications
MODULE 4
  • Grasp essential statistical concepts: central of tendency, dispersion, sampling
  • Learn statistical analysis: Descriptive statistics and statistical inference
MODULE 6
  • Create meaningful visualizations using Matplotlib and Seaborn
  • Develop essential skills in effective storytelling and communicating findings to stakeholders

COURSE DIRECTOR - Hussein Soboh

Hussein Soboh is an accomplished Data Science professional with over 18 years of experience in the high-tech industry spearheading innovative solutions in AI and Machine Learning.

Founder of Datixlabs, a pioneering company providing cutting-edge solutions and consulting services in the field of data science and AI, Hussein brings a unique blend of expertise to the forefront of technological advancement. With a rich background in implementing NLP algorithms and machine learning models at esteemed organizations like the London Stock Exchange,  Refinitiv, and Thomson Reuters, Hussein is recognized for his ability to combine classical and deep learning techniques to address real-world challenges.

As a Data Science and AI Instructor at Axsos and Udacity, he has earned acclaim for delivering international programs, fostering student-centered learning, and ensuring successful project completion and skill acquisition. Holding a Master's degree in Applied Statistics and Data Science from Birzeit University, complemented by recent certifications in machine learning from DeepLearning.AI, Hussein combines a robust theoretical foundation with hands-on practical expertise.

 

Education and Certifications

  • Master of Science in Applied Statistics and Data Science: Birzeit University, Palestine (September 2018 - September 2020)
  • Bachelor of Science in Computer Science: Birzeit University, Palestine (September 2002 - September 2006)
  • Certifications:
    • Supervised Machine Learning: Regression and Classification, DeepLearning.AI (August 2023)
    • Unsupervised Learning, Recommenders, Reinforcement Learning, DeepLearning.AI (August 2023)
    • Advanced Learning Algorithms, DeepLearning.AI (August 2023)

Investment

Date Location Final Fee
19 May - 10 July 2024 Ramallah 1,500 $

Course fees include:

  • Training delivery
  • Lunch and refreshment
  • Certificate of completion


There is no more profitable investment than investing in yourself.