Applied Data Science with PYHTON

Programme Overview

Over the last few decades, the amount of generated and retained data by the companies has skyrocketed. Understanding data has become great challenge but even a greater opportunity for contemporary businesses. While trying to derive meaningful insights from sets of big data, Python has become an all-time favorite programming language for data scientists due to its syntax simplicity, robust libraries and community participation.

This Data Science course with Python features core concepts of exploratory data science, statistics, hypothesis testing, regression classification modelling techniques, data visualization and machine learning algorithms. This programme will allow you to master the concepts of Python programming and essential tools of Data Science with Python.

Target Audience

This training course is well-suited for those professionals who are willing to employ Python for data science and resolve business-related issues. It would prove highly beneficial for anyone who is looking for a robust Python learning programme including but not limited to:

• Software and Data Engineers
• Data Scientists
• Data Analysts
• Economists or Researchers
• Functional Executives and Senior Level Managers
• Anyone interested in Python programming and its applications in data science.

Programme Objectives

Upon the successful completion of Applied Data Science with PYHTON – Training in Ankara, Turkey participants will:

• Apply various analysis and visualization tools (Matplotlib, Seaborn) using Python
• Comprehend the behavior of data
• Build Significant models using the Fundamental concepts of statistics
• Get acquainted with Python Libraries (NumPy, Panda, Scikit-Learn, Statsmodels, etc.)
• Manipulate, prepare and explore data using best practices and techniques.

Programme Contents

• Introduction to data science
• Data Science tools and technologies
• Life Cycle of Data science projects
• Data Analytics Overview
• Statistical Analysis and Business Applications
• Introduction to Python and its essentials
• Python Environment Setup
• Mathematical Computing with Python (NumPy)
• Scientific Computing with Python (SciPy)
• Data Analysis (NumPy and Pandas)
• Data Visualization (Matplotlib and Seaborn)
• Machine Learning and AI (Scikit-Learn and Keras)
• Natural Language Processing with Scikit-Learn
• Web Scrapping and Beautiful Soup
• Python Integration with Hadoop MapReduce and Spark.

Programme Methodology

Being highly participatory in nature, Applied Data Science with PYHTON – Training in Ankara, Türkiye provides scope for active interaction between the instructor and attendees. By using innovative methods of Coaching, step-by-step case studies and plenty of hands-on exercises, Risalat team will make sure you are industry ready upon completion of this workshop.