Advanced Data Analysis and Scripting using Python

Ideal for first-time programmers or individuals with basic programming knowledge, this program teaches advanced data analysis techniques using Python. You will start by learning Python fundamentals, including variables, conditional statements, loops, and functions, enabling you to write modular programs efficiently.

The curriculum then focuses on data analysis-specific topics. You’ll work with arrays using the powerful NumPy library, enabling data manipulation and computation and learn to create and manipulate series of data frames, essential for structured data handling.

The program advances to cover advanced data frame manipulation operations such as merging, reshaping, aggregating, and transforming data frames. These skills empower students to extract valuable insights from complex datasets. The program culminates in a capstone project, allowing you to apply your newfound skills to solve a real-world data analysis problem.

Program Objectives

• Working with Python Interpreter
• Decision Making with Conditional Statements
• Iterative Statements and List Operations
• Looping Over Data Structures
• Writing Modular Programs in Python
• Creating & Manipulating arrays (1D & 2D) Using NumPy
• Creating & Manipulating series of Data Frames
• Manipulating Data Frames
• Advanced Data Frame Manipulation operations
• Complete a Capstone Based on Real-World Application

Target Candidate

The target candidate for this program has a foundational understanding of data analytics and is seeking to advance into more specialized and sought-after roles. They have some analytics knowledge and are eager to expand their skills to qualify for positions such as data analysts, data scientists, or business intelligence analysts.

This program caters to individuals who understand the value of Python in data analysis and want to enhance their capabilities in advanced data analysis techniques and scripting using Python. Upon completion, candidates will have the necessary skills to tackle complex data analysis tasks, manipulate data frames, and leverage Python's extensive libraries for data manipulation and computation.