Hands-on Data Science Skills(Python Machine Learning,Pandas)

Hands-on Data Science Skills(Python Machine Learning,Pandas), available at $54.99, with 129 lectures, and has 3 subscribers.

You will learn about Understand the fundamental concepts of data science. Install Python and set up a development environment on Windows and macOS. Understand the concept of virtual environments and create/manage them. Recognize the applications and industry impact of data science. Differentiate between structured and unstructured data. Familiarize with Jupyter Notebook and use it for interactive data analysis. Explore and manipulate data using Pandas DataFrames Create and manipulate Pandas Series for efficient data handling. Load datasets into Pandas and perform initial data inspection and cleaning. Transform and analyze data using Pandas methods. Visualize data using Matplotlib and Seaborn for insights and reporting. Understand supervised, unsupervised, and reinforcement learning techniques. Preprocess data for machine learning models, including handling missing values and encoding categorical variables. Build, train, and evaluate machine learning models using scikit-learn. Measure model performance using metrics like accuracy, confusion matrix, and classification report. Deploy a machine learning model for real-time predictions and understand model interpretability techniques. This course is ideal for individuals who are Aspiring Data Scientists: Those looking to break into the field of data science and acquire a solid foundation in essential concepts, tools, and techniques. or Students and Graduates: University students or recent graduates aiming to supplement their academic knowledge with practical, real-world skills in data analysis and machine learning. or Professionals Transitioning Careers: Individuals from diverse professional backgrounds (e.g., IT, finance, healthcare) interested in transitioning into data-driven roles. or Data Analysts and Engineers: Professionals already working in related fields who wish to expand their skill set and deepen their understanding of data manipulation, visualization, and predictive modeling. or Entrepreneurs and Business Owners: Those seeking to leverage data science to drive business decisions, optimize processes, and gain a competitive edge in their industries. or Anyone Curious About Data Science: Enthusiasts with a curiosity for data-driven insights and a desire to understand how data science shapes various aspects of modern life. It is particularly useful for Aspiring Data Scientists: Those looking to break into the field of data science and acquire a solid foundation in essential concepts, tools, and techniques. or Students and Graduates: University students or recent graduates aiming to supplement their academic knowledge with practical, real-world skills in data analysis and machine learning. or Professionals Transitioning Careers: Individuals from diverse professional backgrounds (e.g., IT, finance, healthcare) interested in transitioning into data-driven roles. or Data Analysts and Engineers: Professionals already working in related fields who wish to expand their skill set and deepen their understanding of data manipulation, visualization, and predictive modeling. or Entrepreneurs and Business Owners: Those seeking to leverage data science to drive business decisions, optimize processes, and gain a competitive edge in their industries. or Anyone Curious About Data Science: Enthusiasts with a curiosity for data-driven insights and a desire to understand how data science shapes various aspects of modern life.

Enroll now: Hands-on Data Science Skills(Python Machine Learning,Pandas)

Summary

Title: Hands-on Data Science Skills(Python Machine Learning,Pandas)

Price: $54.99

Number of Lectures: 129

Number of Published Lectures: 129

Number of Curriculum Items: 129

Number of Published Curriculum Objects: 129

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

• Understand the fundamental concepts of data science.
• Install Python and set up a development environment on Windows and macOS.
• Understand the concept of virtual environments and create/manage them.
• Recognize the applications and industry impact of data science.
• Differentiate between structured and unstructured data.
• Familiarize with Jupyter Notebook and use it for interactive data analysis.
• Explore and manipulate data using Pandas DataFrames
• Create and manipulate Pandas Series for efficient data handling.
• Load datasets into Pandas and perform initial data inspection and cleaning.
• Transform and analyze data using Pandas methods.
• Visualize data using Matplotlib and Seaborn for insights and reporting.
• Understand supervised, unsupervised, and reinforcement learning techniques.
• Preprocess data for machine learning models, including handling missing values and encoding categorical variables.
• Build, train, and evaluate machine learning models using scikit-learn.
• Measure model performance using metrics like accuracy, confusion matrix, and classification report.
• Deploy a machine learning model for real-time predictions and understand model interpretability techniques.

Who Should Attend

• Aspiring Data Scientists: Those looking to break into the field of data science and acquire a solid foundation in essential concepts, tools, and techniques.
• Students and Graduates: University students or recent graduates aiming to supplement their academic knowledge with practical, real-world skills in data analysis and machine learning.
• Professionals Transitioning Careers: Individuals from diverse professional backgrounds (e.g., IT, finance, healthcare) interested in transitioning into data-driven roles.
• Data Analysts and Engineers: Professionals already working in related fields who wish to expand their skill set and deepen their understanding of data manipulation, visualization, and predictive modeling.
• Entrepreneurs and Business Owners: Those seeking to leverage data science to drive business decisions, optimize processes, and gain a competitive edge in their industries.
• Anyone Curious About Data Science: Enthusiasts with a curiosity for data-driven insights and a desire to understand how data science shapes various aspects of modern life.

Target Audiences

• Aspiring Data Scientists: Those looking to break into the field of data science and acquire a solid foundation in essential concepts, tools, and techniques.
• Students and Graduates: University students or recent graduates aiming to supplement their academic knowledge with practical, real-world skills in data analysis and machine learning.
• Professionals Transitioning Careers: Individuals from diverse professional backgrounds (e.g., IT, finance, healthcare) interested in transitioning into data-driven roles.
• Data Analysts and Engineers: Professionals already working in related fields who wish to expand their skill set and deepen their understanding of data manipulation, visualization, and predictive modeling.
• Entrepreneurs and Business Owners: Those seeking to leverage data science to drive business decisions, optimize processes, and gain a competitive edge in their industries.
• Anyone Curious About Data Science: Enthusiasts with a curiosity for data-driven insights and a desire to understand how data science shapes various aspects of modern life.