Data Sciences with Python Machine Learning (2-in-1 course)
The rise of new digital industrial technology, known as Industry 4.0, is a transformation that makes it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to produce higher-quality goods at reduced costs.
Omni Academy offer a unique Data Sciences course with Python programming for industry professionals and students willing to make their career in fast growing field of data sciences and Machine Learning. Course provide complete understanding of data sciences and hands-on expertise with python programming language usage in business.
Course Learning Summary
- Python Programming
- Use Python for Data Science and Machine Learning
- Use Spark for Big Data Analysis
- Implement Machine Learning Algorithms
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Learn to use Matplotlib for Python Plotting
- Learn to use Seaborn for statistical plots
- Use Plotly for interactive dynamic visualizations
- Use SciKit-Learn for Machine Learning Tasks
- K-Means Clustering, Logistic Regression, Linear Regression
- Random Forest and Decision Trees
- Natural Language Processing and Spam Filters, Neural Networks
- Support Vector Machines
Big Data | Data Sciences Course Overview
Course Key Content
Learn how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python;
Python Fundamentals
- Introduction to Python
- Variables, Strings, Numbers
- Math Operators, Built-in functions
- Lists, List Indexing and Slicing, List Methods
- Tuples, Dictionaries
- User Input, Conditions
- Custom Functions
- Working with Files, Processing the content of a file
Working with Loops and Packages
- For Loop, While Loop
- String Formatting
- Modules, Libraries and Packages
- Installing Python Packages
- Working with Date and Time objects
- The “with” Contect Manager
Dealing with Programming Errors
- Syntax Errors
- Runtime Errors
- Exception Handling in Python
Data Analysis with Pandas
- Getting Started with Pandas
- Loading Data in Python from CSV, Excel, TXT and JSON Files
- Indexing and Slicing Dataframes
- Dropping Dataframe Columns and Rows
- Updating and Adding new Columns and Rows
Python – Machine Learning & Data Science – I
- NumPy with Python
- Using pandas Data Frames to solve complex tasks
- Use pandas to handle Excel Files
- Web scraping with python
- Connect Python to MongoDB
Python – Machine Learning & Data Science – II
- Use matplotlib and seaborn for data visualizations
- Use plotly for interactive visualizations
Python – Machine Learning & Data Science – III
- Python – Machine Learning with SciKit Learn, including
- Linear Regression
Python – Machine Learning & Data Science -IV
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- Introduction to MongoDB
- Design MongoDB database from start to finish
- Differentiate between RDBMS and NoSQL databases
- Spot key features and advantages of NoSQL database MongoDB over RDBMS databases
- Installing MongoDB
- Working on pyMongo
- MongoDB Learn performing CRUD Operations
Course Prerequisite
Basic level understanding with any financial data analysis, database or programming language understanding.
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International student Fee : 500 $ | 1,875 SAR | 1,875 AED
Data Scientist Career
Job Interview Preparation (Questions & Answers)
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- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
- Data Sciences Job Interview Must Know Questions
- Python Job Interview Questions and Answers
- Data Sciences Job Interview Questions and Answers
- Machine Learning Job Interview Questions
- RPA Job Interview Questions and Answers
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Flexible Class Options
- Corporate Workshops | Fast-Track
- Week-End Classes For Professionals SAT | SUN
- Online Classes – Live Virtual Class (L.V.C), Online Training
Related Courses
Python 6 Projects – Basic to Advanced Python Programming
Robotic Process Automation (RPA) UiPath
Machine Learning with 9 Practical Applications
Data Sciences Specialization
Diploma in Big Data Analytics
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KEY FEATURES
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