Intro to Data Science Using Python: Your Best Starting Point

Pre Introduction: Installation and Guides 3 lectures 11:07 Installing Anaconda Your Way Around Jupyter Notebooks Dealing with The Course's Notebooks Pre Introduction: Installation and Guides 3 lectures 11:07 Installing Anaconda Your Way Around Jupyter Notebooks Dealing with The Course's Notebooks Installing Anaconda Installing Anaconda Installing Anaconda Installing Anaconda Your Way Around Jupyter Notebooks Your Way Around Jupyter Notebooks Your Way Around Jupyter Notebooks Your Way Around Jupyter Notebooks Dealing with The Course's Notebooks Dealing with The Course's Notebooks Dealing with The Course's Notebooks Dealing with The Course's Notebooks Review Introduction 6 lectures 15:39 The Problem Definition Understanding the Data Python Packages for Data Science Importing and Exporting Data in Python Getting Started Analyzing Data in Python Lab 1: Review Introduction1 In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. Review Introduction 6 lectures 15:39 The Problem Definition Understanding the Data Python Packages for Data Science Importing and Exporting Data in Python Getting Started Analyzing Data in Python Lab 1: Review Introduction1 In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. The Problem Definition The Problem Definition The Problem Definition The Problem Definition Understanding the Data Understanding the Data Understanding the Data Understanding the Data Python Packages for Data Science Python Packages for Data Science Python Packages for Data Science Python Packages for Data Science Importing and Exporting Data in Python Importing and Exporting Data in Python Importing and Exporting Data in Python Importing and Exporting Data in Python Getting Started Analyzing Data in Python Getting Started Analyzing Data in Python Getting Started Analyzing Data in Python Getting Started Analyzing Data in Python Lab 1: Review Introduction1 In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. Lab 1: Review Introduction1 In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. Lab 1: Review Introduction1 In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. Lab 1: Review Introduction1 In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. In this section, you will learn how to approach data acquisition in various ways, and obtain necessary insights from a dataset. By the end of this lab, you will successfully load the data into Jupyter Notebook, and gain some fundamental insights via Pandas Library. Data Wrangling 7 lectures 17:42 Pre-processing Data in Python Dealing with Missing Values in Python Data Formatting in Python Data Normalization in Python Binning in Python Turning Categorical Variables into Quantitative Variables in Python Lab 2: Data Wrangling By the end of this notebook, you will have learned the basics of Data Wrangling! Data Wrangling 7 lectures 17:42 Pre-processing Data in Python Dealing with Missing Values in Python Data Formatting in Python Data Normalization in Python Binning in Python Turning Categorical Variables into Quantitative Variables in Python Lab 2: Data Wrangling By the end of this notebook, you will have learned the basics of Data Wrangling! Pre-processing Data in Python Pre-processing Data in Python Pre-processing Data in Python Pre-processing Data in Python Dealing with Missing Values in Python Dealing with Missing Values in Python Dealing with Missing Values in Python Dealing with Missing Values in Python Data Formatting in Python Data Formatting in Python Data Formatting in Python Data Formatting in Python Data Normalization in Python Data Normalization in Python Data Normalization in Python Data Normalization in Python Binning in Python Binning in Python Binning in Python Binning in Python Turning Categorical Variables into Quantitative Variables in Python Turning Categorical Variables into Quantitative Variables in Python Turning Categorical Variables into Quantitative Variables in Python Turning Categorical Variables into Quantitative Variables in Python Lab 2: Data Wrangling By the end of this notebook, you will have learned the basics of Data Wrangling! Lab 2: Data Wrangling By the end of this notebook, you will have learned the basics of Data Wrangling! Lab 2: Data Wrangling By the end of this notebook, you will have learned the basics of Data Wrangling! Lab 2: Data Wrangling By the end of this notebook, you will have learned the basics of Data Wrangling! By the end of this notebook, you will have learned the basics of Data Wrangling! By the end of this notebook, you will have learned the basics of Data Wrangling! Exploratory Data Analysis 7 lectures 18:30 Exploratory Data Analysis Descriptive Statistics GroupBy in Python Correlation Correlation Statistics Analysis of Variance ANOVA Lab 3: Exploratory Data Analysis In this section, we will explore several methods to see if certain characteristics or features can be used to predict car price. Exploratory Data Analysis. 7 lectures 18:30 Exploratory Data Analysis Descriptive Statistics GroupBy in Python Correlation Correlation Statistics Analysis of Variance ANOVA Lab 3: Exploratory Data Analysis In this section, we will explore several methods to see if certain characteristics or features can be used to predict car price