Full Data Analytics Bootcamp

In this bootcamp, you will learn the fundamentals of data analysis in Excel, covering lookup functions and visualizations for different data types. The program also includes a comprehensive introduction to SQL, where you'll learn to design, store, and retrieve data from relational databases.

If you're new to programming, the bootcamp will guide you through learning Python and its basic constructs such as variables, loops, decision-making statements, and functions. You'll explore popular data libraries, gain proficiency in working with 1D and 2D data, and manipulate multi-dimensional data frames.

As you progress, you'll dive into data visualization and reporting with Tableau, acquiring the skills to create visualizations for time-series, spatial, and relational data. Upon completion, you'll be well-equipped for roles such as data analysts, business intelligence specialists, and data scientists, with a strong foundation in data analytics techniques and tools.

In addition, the bootcamp offers an opportunity to explore working with large language models (LLMs) using Python. You'll learn to fine-tune LLMs on custom datasets, build chatbots with ChatGPT, and set up LLM projects.

Program Objectives

• Perform Basic Data Analysis Using Excel
• Measure Central Tendencies using Statistical Techniques
• Data Visualization Using Excel
• Measuring the Spread and Correlation of Data
• Creating Database Objects & Populate data
• Query Data Using SQL
• Retrieve Data from Multiple Tables
• 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
• Exploring Tableau
• Creating Visuals Using Tableau
• Exploring Time Series Data
• Visualization Spatial and Relational Data
• Visualize Data Distribution and Create Dashboard
• Design Advanced Dashboard
• Exploratory Data Analysis Through Visualization
• Introduction to ChatGPT and Prompt Engineering
• Setting Up the Environment for LLM in Python
• Fine-tuning LLM on a Custom Dataset

Target Candidate

The ideal candidate for this program is someone who is motivated to excel in the field of data analytics and is eager to transition their career or accelerate their existing career in this domain. They have a strong interest in data analysis and aspire to work as data analysts, business intelligence specialists, or data scientists.

The candidate is driven to stay ahead in the evolving field of data analytics and is enthusiastic about applying data analysis techniques to drive insights and make data-driven decisions. They possess strong problem-solving skills, attention to detail, and an analytical mindset, which are essential qualities for success in this program and future roles in the data analytics field.