Python for Data Science Pro: The Complete Mastery Course
Python for Data Science Pro: The Complete Mastery Course, available at $19.99, with 27 lectures.
You will learn about What is Python Data Science and Workflow? Control Flow: Conditionals and Loops Understanding Arrays and Matrices Data Cleaning and Preparation Merging and Joining Data Subplots and Figures Measures of Central Tendency Measures of Variability Normal, Binomial, and Other Distributions Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning Handling Imbalanced Data Linear and Logistic Regression Sentiment Analysis This course is ideal for individuals who are Anyone who want to learn master Python for data science. or Python developers looking to specialize in data analysis and machine learning. It is particularly useful for Anyone who want to learn master Python for data science. or Python developers looking to specialize in data analysis and machine learning.
Enroll now: Python for Data Science Pro: The Complete Mastery Course
Summary
Title: Python for Data Science Pro: The Complete Mastery Course
Price: $19.99
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- What is Python Data Science and Workflow?
- Control Flow: Conditionals and Loops
- Understanding Arrays and Matrices
- Data Cleaning and Preparation
- Merging and Joining Data
- Subplots and Figures
- Measures of Central Tendency
- Measures of Variability
- Normal, Binomial, and Other Distributions
- Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
- Handling Imbalanced Data
- Linear and Logistic Regression
- Sentiment Analysis
Who Should Attend
- Anyone who want to learn master Python for data science.
- Python developers looking to specialize in data analysis and machine learning.
Target Audiences
- Anyone who want to learn master Python for data science.
- Python developers looking to specialize in data analysis and machine learning.
Elevate your data science skills to a professional level with “Python for Data Science Pro: The Complete Mastery Course.” This comprehensive course is designed for individuals who want to master Python for data analysis, machine learning, and data visualization, ensuring you are fully equipped to tackle complex data challenges in any industry.
Starting with the fundamentals of Python, you’ll quickly progress to advanced topics, including data manipulation with Pandas, statistical analysis, and machine learning with scikit-learn. You’ll also explore powerful data visualization tools like Matplotlib and Seaborn, enabling you to present data insights clearly and effectively. The course is packed with hands-on projects and real-world datasets, providing you with practical experience that mirrors the demands of the data science field.
By the end of this course, you’ll have the expertise to analyze, visualize, and model data using Python, making you a highly sought-after data science professional.
What You’ll Learn:
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Python Basics for Data Science: Get up to speed with Python programming, including syntax, data structures, and essential libraries.
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Data Manipulation with Pandas: Learn to clean, manipulate, and analyze large datasets efficiently.
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Statistical Analysis: Master statistical methods and techniques to uncover insights from data.
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Machine Learning with scikit-learn: Build and evaluate machine learning models to predict outcomes and uncover patterns.
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Data Visualization: Create impactful visualizations using Matplotlib and Seaborn to communicate data insights effectively.
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Best Practices:Learn industry-standard practices for writing clean, efficient, and reproducible Python code.
Who This Course is For:
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Aspiring data scientists who want to master Python for data science.
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Python developers looking to specialize in data analysis and machine learning.
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Data analysts eager to upgrade their skills with advanced data science techniques.
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Professionals in any industry who want to leverage data science for decision-making and problem-solving.
By enrolling in this course, you’ll gain a complete mastery of Python for data science, from data manipulation to machine learning. This course is your pathway to becoming a proficient data scientist, capable of extracting valuable insights from data and driving impactful decisions in any organization. Start your journey to data science excellence today!
Course Curriculum
Chapter 1: Module 1: Introduction to Python and Data Science
Lecture 1: Variables, data types, and operators
Lecture 2: Control Flow: Conditionals and Loops
Lecture 3: Functions and Modules
Chapter 2: Module 2: Data Manipulation with Python
Lecture 1: Understanding Arrays and Matrices
Lecture 2: Array Operations
Lecture 3: DataFrames and Series
Lecture 4: Data Cleaning and Preparation
Lecture 5: Handling Missing Data
Lecture 6: Merging and Joining Data
Lecture 7: Sorting and Filtering Data
Lecture 8: Grouping and Aggregation
Chapter 3: Module 3: Data Visualization
Lecture 1: Basic Plots: Line, Bar, Scatter
Lecture 2: Customizing Plots
Lecture 3: Subplots and Figures
Lecture 4: Creating Interactive Charts
Chapter 4: Module 4: Statistical Analysis
Lecture 1: Measures of Central Tendency
Lecture 2: Measures of Variability
Lecture 3: Normal, Binomial, and Other Distributions
Lecture 4: Null and Alternative Hypotheses
Chapter 5: Module 5: Introduction to Machine Learning
Lecture 1: Feature Scaling and Normalization
Lecture 2: Encoding Categorical Variables
Lecture 3: Handling Imbalanced Data
Lecture 4: Linear and Logistic Regression
Chapter 6: Module 6: Advanced Topics in Data Science
Lecture 1: Introduction to Time Series Data
Lecture 2: Decomposition, ARIMA Models
Lecture 3: Text Preprocessing
Lecture 4: Sentiment Analysis
Instructors
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Sara Academy
Programmer | Android Developer | Web Designer | Instructor
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Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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