MongoDB Database Developer Course In Python
MongoDB Database Developer Course In Python, available at $84.99, has an average rating of 4.57, with 69 lectures, 2 quizzes, based on 316 reviews, and has 2872 subscribers.
You will learn about Learn general knowledge about using databases with your applications Learn about the features available in MongoDB Learn how to create Python applications to interact with your own MongoDB Database Learn system administration concepts for managing and scaling your MongoDB systems This course is ideal for individuals who are Anyone who wants to learn about the features available in MongoDB or Anyone who wants to make a Python application which can store and interact with data stored in a database or People who are tired of saving their application data as .txt or .csv files, and want a better way to store and query their data It is particularly useful for Anyone who wants to learn about the features available in MongoDB or Anyone who wants to make a Python application which can store and interact with data stored in a database or People who are tired of saving their application data as .txt or .csv files, and want a better way to store and query their data.
Enroll now: MongoDB Database Developer Course In Python
Summary
Title: MongoDB Database Developer Course In Python
Price: $84.99
Average Rating: 4.57
Number of Lectures: 69
Number of Quizzes: 2
Number of Published Lectures: 69
Number of Published Quizzes: 2
Number of Curriculum Items: 71
Number of Published Curriculum Objects: 71
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn general knowledge about using databases with your applications
- Learn about the features available in MongoDB
- Learn how to create Python applications to interact with your own MongoDB Database
- Learn system administration concepts for managing and scaling your MongoDB systems
Who Should Attend
- Anyone who wants to learn about the features available in MongoDB
- Anyone who wants to make a Python application which can store and interact with data stored in a database
- People who are tired of saving their application data as .txt or .csv files, and want a better way to store and query their data
Target Audiences
- Anyone who wants to learn about the features available in MongoDB
- Anyone who wants to make a Python application which can store and interact with data stored in a database
- People who are tired of saving their application data as .txt or .csv files, and want a better way to store and query their data
In the evolving technology industry, data has become “King”. Whether you are running a simple ecommerce website or trying to train complex neural network models, the skills to manage large amounts of data in your software applications are constantly growing in demand.
So to rise to the challenge, this course we will cover the powerful features of the MongoDB database using the Python programming language. Whether you are a complete beginner to databases, or wanting to learn how to optimize your current dataset, this course has something for anyone looking to learn more about managing datasets in MongoDB within their Python applications.
Whether you are a aspiring App Developer, or a Big-Data Enthusiast. You will come to find the features in MongoDB will help expedite your projects’ data management. The growing popularity of NoSQL applications make Mongo DB one of the best frameworks to learn.
This course will cover topics such as:
– Development Environment Setup
– MongoDB Database Server Usage
– Utilizing the Command Line Interface to interact with your Database
– Implementing MongoDB features in your own Python code
– Using the powerful Aggregation Pipeline
– Improving Database performance
– MongoDB Security And Authentication
– Advanced MongoDB Topics
– And Much More…
Not to mention additional content to help you practice what you have learned, such as:
– Projects which you create Python code to interact with your own video game database
– Mini Challenges to give you example scenarios to test the skills you’ve learned
– Quizzes to help fortify your knowledge
This course also utilizes the popular Jupyter Notebook framework. No more fumbling between code editors and terminals to write our your programs and run your Python scripts. Instead we have an all encompassed environment which allows us to program as we go, and act as a detailed documentation guide which helps streamline your learning experience.
Python programming experience is preferred, but not required, as I will guide you through step-by-step how to implement MongoDB features into your own Python code in detailed video lectures, complimented with explanatory animations. Be sure to check out some of the sample lectures available for free Preview.
If you somehow aren’t satisfied with the content of this course, you can feel free to utilize Udemy’s course refund policy to get your money back. So you can give this course a try worry-free to help you learn these valuable database skills.
So what are you waiting for? Enroll now!
Course Curriculum
Chapter 1: Course Introduction
Lecture 1: Welcome To The Course
Lecture 2: General Overview Of Databases
Lecture 3: MongoDB + Python Overview
Chapter 2: Environment Setup
Lecture 1: Section Intro
Lecture 2: [Windows] Installing MongoDB
Lecture 3: [Windows] Installing Development Prerequisites
Lecture 4: [Ubuntu] Installing MongoDB
Lecture 5: [Ubuntu] Installing Development Tools
Lecture 6: [MacOS] Installing MongoDB
Lecture 7: [MacOS] Installing Development Tools
Lecture 8: [Atlas] MongoDB Setup
Lecture 9: [Docker] MongoDB + Env Config
Chapter 3: MongoDB Usage Overview
Lecture 1: Section Intro
Lecture 2: [Windows] How To Start MongoDB And Compass
Lecture 3: [Ubuntu] How To Start MongoDB and Compass
Lecture 4: [MacOS] How To Start MongoDB and Compass
Lecture 5: Introduction To The Command Line Interface
Lecture 6: Introduction To MongoDB Drivers
Chapter 4: MongoDB Basics And CRUD Operations CLI
Lecture 1: Section Intro
Lecture 2: MongoDB Data Structure Overview
Lecture 3: CRUD Overview
Lecture 4: Using The CLI For CRUD Operations
Lecture 5: Using Compass For CRUD Operations
Chapter 5: MongoDB In Python
Lecture 1: Section Intro
Lecture 2: [Please Read] Pymongo 4.0 Update
Lecture 3: CRUD Basics In Python
Lecture 4: Insert Functionality
Lecture 5: Find And Cursor Functionality
Lecture 6: Project: Video Game Character Data
Lecture 7: Creating "Clean" MongoDB Code
Lecture 8: Operators
Lecture 9: Update Functionality
Lecture 10: Delete Functionality
Lecture 11: Working With Dates And Times
Lecture 12: Project: Video Game Characters Pt. 2
Lecture 13: Working With Arrays
Chapter 6: Aggregation
Lecture 1: Section Intro
Lecture 2: Aggregation Framework Overview
Lecture 3: Match, Project, Unset
Lecture 4: Limit, Skip, Sort, Count
Lecture 5: Array Operators, Unwind
Lecture 6: Group, Accumulators, ROOT
Lecture 7: Mini Challenge 1
Lecture 8: AddField, Sample
Lecture 9: Lookup, UnionWith
Lecture 10: Out, Merge
Lecture 11: Cond, Date Operators, Expr
Lecture 12: IfNull, Type, Switch
Lecture 13: Mini Challenge 2
Chapter 7: Improving Database Performance
Lecture 1: Section Intro
Lecture 2: MongoDB Database Tools Overview
Lecture 3: Indexes
Lecture 4: Sharding And Replication
Lecture 5: Schema And Validation
Lecture 6: Notes On Data-Type Specific Collections
Chapter 8: Security Configurations
Lecture 1: Section Intro
Lecture 2: Intro To Users And Roles
Lecture 3: Overview Of Built-In Roles
Lecture 4: Creating Users And Roles
Lecture 5: MongoDB Security Checklist
Chapter 9: Advanced Topics
Lecture 1: Section Intro
Lecture 2: Using MongoDB With Docker
Lecture 3: Using MongoDB With Pandas
Lecture 4: Time Series Using Stock Market Data
Lecture 5: Making A REST API
Lecture 6: Local Networking
Lecture 7: Intro To Motor (async MongoDB Driver)
Chapter 10: Course Outro
Lecture 1: Congratulations! Next Steps.
Chapter 11: BONUS
Lecture 1: BONUS
Instructors
-
Raymond Andrade
Robotic Systems Developer
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 3 votes
- 3 stars: 19 votes
- 4 stars: 84 votes
- 5 stars: 207 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Language Learning Courses to Learn in November 2024
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024