This course, which can be accessed by Udemy and offered by Learn Tech Plus, is a comprehensive Master course that is a perfect fit for beginners in Python programming. A beginner can learn from the basics to the advanced stage, covering all Python topics to writing your first script and then moving to more coding exercises. This course consists of eleven (11) sections with 103 lectures over a 13 hours time length.
After the course, you get a Udemy certificate. Below are the topics you will cover in this course;
- Python Basics
Python is a very important language in machine learning, and with this course, you will learn A-Z about Python, from the basics to advanced topics like Python GUI, Python Data Analysis, and more!. Offered on the Udemy platform, the course will help you create your Python programs, master Python’s skill to parse the web, and create your games. You get a certification of completion. This course will get you started in Python programming—irrespective of your programming level and skills.
This course consists of the following topics that will help you master the Python programming skill;
- The fundamentals of Python programming
- Writing and Reading to Files
- Automation of Word and Excel Files
- Web scraping with BeautifulSoup4
- Browser automation with Selenium
- Data Analysis and Visualization with MatPlotLib
- Regex parsing and Task Management
- GUI and Gaming with Tkinter
- And much more!
This is more or less an assessment course that is ideal for students who want to build confidence, improve their Python programming skills and apply it to real-life scenarios.
You will get to work on a range of Python assignments and solutions from simple to advanced levels in fields such as Virtualization, data analysis, image editing, web applications, and many more.
Each exercise is graded, so at the end of the course, you would have the “total ratings,” which will determine the category level of Python Skills you are. As you further solve these python questions, you will grow in confidence and skills, which comes in handy when you are on a job hunt.
You won’t find a better course module that will prepare you for the Python MTA 98-381 Exam other than this course offered on Udemy. It covers all the basics from keywords, operators, statements, and expressions to the advanced stage. It is a complete resource to get you skilled for the MTA 98 certification
After concluding this specialization, you will be ready to sit for the Python certification exam and prepare to develop impressive Python applications within few hours. You are also entitled to a certificate after completion.
This course is an intertwined specialization; it’s two sides of the same coin as you will be put through Python for data science and Python for machine learning. Enrolling in this course will expose you to using Numpy, Pandas, seaborn, Scikit-learn, machine learning, and of cos Tensorflow. Students enrolled will be taught via the Udemy online platform how to program with Python, create Amazing data visualizations, and machine learning with Python.
Below are topics you will cover in this season
- Programming with Python
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
- Web scraping with Python
- Connect Python to SQL
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
- Machine Learning with SciKit Learn, including:
- Linear Regression
- K Nearest Neighbors
- K Means Clustering
- Decision Trees
- Random Forests
- Natural Language Processing
- Neural Nets and Deep Learning
- Support Vector Machines
- and much, much more!
If you are a professional and need a step by step explanation of learning tenets and data analytics using the Python tool, then this will be the right fit for you. It is a course that needs hands-on programming and conducting data analysis
At the end of this course, you will be equipped with the following skillset;
For the generation of KPIs, summarization of data, interpretation of data, and insights
To perform data ingestion and to manage input data complexities
Perform data quality tests and initiate exploratory data analysis (EDA)
Manage and process several file upgrades by creating custom functions more complex
For data processing and feature creation
Machine learning can be a bit cumbersome with the wrong teaching curriculum, but you can be certain of immediate success in your machine learning skill with this course. This course is a great fit for students who want to cross to data science. It helps you learn Python machine learning algorithms from industry experts and handle advanced techniques like dimensionality reduction.
Besides, the course is filled with practical lessons based on real-life scenarios. So you’re not only practicing the theory, but you’re still going to have some hands-on experience designing your models.
Below are the topics in this course;
- Data Preprocessing
- Regression: Multiple Linear Regression, Simple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression
- Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification
- Clustering: K-Means, Hierarchical Clustering
- Association Rule Learning: Apriori, Eclat
- Reinforcement Learning: Upper Confidence Bound, Thompson Sampling
- Natural Language Processing: Bag-of-words model and algorithms for NLP
- Deep Learning: Artificial Neural Networks, Convolutional, and Neural Networks
- Dimensionality Reduction: PCA, LDA, Kernel PCA
- Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost
Python 3 Programming at a Snail’s Pace is the second series of Python learning at a Snail pace offered by Udemy. This course is fit for students aiming to master their understanding of strings in Python.
If you wish to enroll in this course, you will go through the following topics;
- Basic Strings
- Method for Strings
- Small Project
- Project – A Plethora of Palindromes
- Final and Upcoming
Python is an important machine learning language used in developing Blockchain applications as Python can interact with the public ledger API of Blockchain’ blockchain.info’ and execute codes.
If you want to learn about Python as it relates to blockchain and cryptocurrencies, then this course is a perfect fit for you
You will learn about digital ledgers and transactions with money transfers to building a voting app for data stored in a blockchain.
It is not compulsory to have prior experience with blockchain and decentralized apps, as you will get a full review of the core modules
Below are the core topics you will cover;
- Introduction to Blockchains
- Introduction to Decentralized Apps
- Solidity Language Basics
- Build a Decentralized App
As a programmer myself, If I’m to choose the most comprehensive and Python course in Udemy that offers the most value, this course comes to mind. It’s fully packed with all the modules you will need to learn to be a pro in Python programming.
You will be groom from the basics to creating your own Python games and applications. You will learn Python 3 in this comprehensive course that includes lots of lectures, exercises that help you master the skill set for a Pro Python programmer
The ability to use Python to solve real-world tasks such as working with PDF Files, reading excel files, scraping websites for information, working with image files are all that you will learn during this intensive distant learning course.
When you conclude this course, you will earn a certificate of completion, which could be a game-changer if you want to apply for jobs needing that skill.
Below are the topics you will cover in the Complete Python Bootcamp From Zero to Hero in Python:
- Command Line Basics
- Installing Python
- Running Python Code
- Number Data Types
- Print Formatting
- Built-in Functions
- Debugging and Error Handling
- External Modules
- Object-Oriented Programming
- File I/O
- Advanced Methods
- Unit Tests
- and much more!