Clouds

Python Data Science

$2795

5 days

2025-04-14

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Essential Skills Gained

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Build a Strong Python Foundation: Master the fundamentals of Python programming, including functions, data structures, and control flow, as a basis for data science.

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Use Jupyter Notebooks for Data Science Workflows: Learn to create and manage Jupyter Notebooks for organizing and presenting data analyses effectively.

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Manipulate Data with Pandas: Work with DataFrames to clean, modify, and analyze structured data using Boolean masks, time series, and groupby operations.

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Interact with Databases: Connect to and query relational databases like SQLite and PostgreSQL, as well as NoSQL databases like MongoDB, to manage and analyze data.

Format

5 day course with lecture and hands-on labs.

Audience

Data Analysts or Administrators

Business Intelligence Professionals

Data Scientists

Software Developers

Description

This course offers a comprehensive introduction to Python for data science, equipping participants with the skills to manipulate, analyze, and visualize data effectively. Starting with foundational Python programming, the course progresses to cover essential tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Numpy for numerical computations. Participants will learn to work with relational databases like SQLite and PostgreSQL, as well as NoSQL databases like MongoDB, to manage and analyze large datasets. The course also explores using Jupyter Notebooks for organizing analyses, cleaning and preparing data, and performing advanced computations with SciPy. By the end, attendees will be prepared to tackle real-world data challenges and make data-driven decisions confidently.

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Getting Started

  • 💻 Register for Poll

  • Welcome to Alta3 Live

  • Vim: A Modal Text Editor

  • Efficient CLI Usage with Tmux

  • Revision Control with GitHub

Certification

  • 💻 Data Sciences with Python - Alta3 Research Certification Project

Day 1: Foundational Python

  • 💻 Built-in Functions

  • 💻 Custom Functions

  • 💻 Objects and Methods

  • 💬 Python Lists

  • 💻 Python Lists

  • 💬 Python Dictionaries

  • 💻 Python Dictionaries

  • 💬 Conditionals

  • 💻 If, Elif, and Else Conditions

  • 💻 While Loops

Day 2: Foundational Python (Continued)

  • 💻 For Loops

  • 💬 Reading and Writing to Files

  • 💻 Reading Files

  • 💻 Using Modules

  • 💻 PIP and Third Party Libraries

  • 💻 Try and Except

  • 💻 Python Classes & Inheritance

Days 3-5: Python Data Science

  • 💻 Introduction to Jupyter Notebook

Regular Expression

  • 💬 Introduction to Regular Expression (RegEx)

  • 💻 Use RegEx to Search Text

  • 💻 Search and Replace Data

  • 💻 Compiling RegEx Search Objects

  • 💻 Testing if a Match Exists

Pandas

  • 💻 Intro to Pandas

  • 💻 Examining Cashflow with Pandas

  • 💬 Cleaning Data with Pandas

  • 💻 Cleaning Data with Pandas

  • 🏆 Modifying DataFrames

  • 💻 Boolean Masks for DataFrames

  • 💻 Time Series Data

Python and Databases

  • 💬 Interacting with Databases

  • 💻 Learning sqlite3

  • 💻 postgreSQL with Python

  • 💻 Python and MongoDB

Matplotlib

  • 💬 Matplotlib

  • 💻 Creating Plots with Matplotlib

  • 💻 Matplotlib - Histograms and Bar Graphs

  • 💻 Annotating Graphs on Matplotlib

  • 💻 Making Subplots with Matplotlib

  • 💻 Customizing Matplotlib Graphs

  • 🏆 Create a Graph with Matplotlib

Seaborn

  • 💻 Pandas groupby and Graphing Relational Data with Seaborn

  • 💻 Visualizing Multi-Dimensional Data Using Seaborn

Numpy

  • 💻 Using Numpy Arrays

  • 💻 Generating Data with Numpy's arange and linspace

  • 💻 Indexing, Slicing, and Reshaping Multi-Dimensional Arrays

Scipy

  • 💻 Introducing SciPy

Additional Python Data Science Tools

  • 💻 Building Interactive Maps

  • 💻 folium and Flask - Returning Maps from Custom API Endpoints

  • 🏆 Map the Location of the ISS

Optional- PCEP Certification Guide

  • 💬 Introduction to the PCEP Exam

  • 💻 Advanced Numbers and Operators

  • 💻 Pythonic Loops and Iteration

  • 💻 Advanced Lists and Tuples

  • 💻 Advanced Functionality and Error Handling

Your Team has Unique Training Needs.

Your team deserves training as unique as they are.

Let us tailor the course to your needs at no extra cost.