Python For Data Science : Database And Visualization
Published 5/2026
Created by Init Tech Labs Dhairya Joshi
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 164 Lectures ( 10h 33m ) | Size: 5.4 GB

Master NumPy, Jupyter, Pandas, Matplotlib, MySQL and MongoDB from scratch.
What you'll learn
⚡ Master Data Science Fundamentals: Understand the role of a data scientist and how to set up a professional data science environment.
⚡ Navigate Jupyter Notebooks: Learn to write, debug, and document your Python code efficiently using Jupyter's powerful interactive environment.
⚡ Perform High-Performance Vector Computing: Use NumPy to handle multi-dimensional arrays, perform fast mathematical operations, and manipulate numerical data.
⚡ Manipulate and Analyze Complex Datasets: Master Pandas to clean messy data, handle missing values, filter datasets, and perform advanced data aggregations.
⚡ Connect Python with Relational Databases: Write Python scripts to connect to MySQL, run SQL queries, and extract structured data for analysis.
⚡ Work with NoSQL and Unstructured Data: Connect Python to MongoDB to store, query, and manage flexible, document-based JSON/BSON data.
⚡ Create Data Visualizations: Use Matplotlib to build clear, impactful charts (line, bar, scatter, histograms) to communicate your data insights.
Requirements
❗ Basic Python Knowledge: Students should know fundamental Python concepts like variables, loops, functions, and basic data types (lists, dictionaries). Note: They don't need to be experts, but they shouldn't be seeing Python for the very first time.
❗ A Computer (Windows, Mac, or Linux): A desktop or laptop with internet access to download скачать the necessary open-source software (like Anaconda, MySQL, and MongoDB).
❗ No Prior Data Science Experience Needed: This course starts from the absolute basics of data manipulation and takes you step-by-step through the process.
❗ No Advanced Math or Statistics Background Required: Any necessary mathematical or data concepts will be explained clearly as we go.
❗ An Eagerness to Learn: A desire to work with data, solve puzzles, and build real-world coding skills!
DescriptionThis course contains the use of artificial intelligence.
Unlock the Power of Data: Master Data Science Foundations and Modern Database Integration in One Complete Course.
Data is the new oil, but only if you know how to extract, clean, analyze, and store it. Today, top tech companies aren't just looking for data scientists who can build charts; they need professionals who can bridge the gap between data analysis and real-world database systems.
This course is designed to take you from a basic understanding of Python to a confident, job-ready data analyst and data wrangler. You won't just learn how to analyze mock datasets-you will master how to connect Python directly toMySQL (SQL) andMongoDB (NoSQL) databases to handle data pipelines like a pro.
Why Choose This Course?
Unlike standard Python data science courses that stop at basics, this curriculum bridges the gap betweenData Wrangling andDatabase Architecture. You will gain hands-on experience using industry-standard tools in a structured, step-by-step manner that ensures you never feel lost.
What We Will Cover Step-by-Step
✨The Foundations: Kick things off with a smooth introduction to the Data Science ecosystem and quickly get comfortable withJupyter Notebook, the definitive interactive environment used by data professionals worldwide.
✨Numerical Computing with NumPy: Learn how to handle massive datasets efficiently using multi-dimensional arrays, vector operations, and high-performance mathematical functions.
✨Data Manipulation with Pandas: Master the crown jewel of Python data science. You'll learn to clean messy data, handle missing values, merge complex datasets, and perform powerful data aggregations.
✨The SQL Pipeline (MySQL): Learn how to seamlessly integrate Python with relational databases. Connect to MySQL, execute queries, and extract structured data directly into your Python data pipeline.
✨The NoSQL Pipeline (MongoDB): Step into modern web and unstructured data storage. Learn how Python interacts with document-oriented databases to manage JSON/BSON data collections.
✨Data Visualization with Matplotlib: Bring your data stories to life. Learn to build professional, presentation-ready line plots, scatter plots, bar charts, and histograms.
By the End of This Course, You Will Be Able To
✨ Confidently clean and manipulate raw, disorganized real-world data.
✨ Query both Relational (SQL) and Non-Relational (NoSQL) databases natively using Python.
✨ Build stunning data visualizations to communicate trends and insights to stakeholders.
✨ Think like a Data Analyst and Data Engineer when solving technical problems.
Enroll Today Risk-Free!
Whether you want to upgrade your current career, break into tech, or build a stellar academic project portfolio, this course gives you the modern skillset you need. You'll get lifetime access to all code notebooks, clear video lectures, and active instructor support in the Q&A section.
Click the "Buy Now" button and take your first step toward becoming a data professional today!
Who this course is for
⭐ Aspiring Data Scientists looking for a solid foundation in core Python tools.
⭐ Python Beginners wanting to transition into data analysis and visualization.
⭐ Data Analysts & Excel Users ready to upgrade to powerful Python libraries.
⭐ Developers & DBAs who want to bridge Python with SQL (MySQL) and NoSQL (MongoDB).
⭐ Students & Professionals needing to process and visualize data for their projects.
Homepage

https://anonymz.com/?
https://www.udemy.com/course/python-for-data-science-database-and-visualization