This specialization in Data Wrangling with Python equips beginners with essential skills for data analysis. Through practical exercises and case studies, students learn fundamental tools, data collection techniques, statistical analysis, data preprocessing, and visualization.
By mastering the techniques covered in these courses, students gain the ability to handle real-world data challenges effectively. The final project provides an opportunity to apply and demonstrate their mastery of the subject.
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Fundamental Tools of Data Wrangling; Data Collection and Integration; Data Understanding and Visualization; Data Processing and Manipulation; Data Wrangling with Python Project
You will learn the fundamentals of programming in Python and how to efficiently organize and manipulate data using various data structures. Additionally, you will practice numerical computing, data manipulation, and analysis using NumPy and Pandas.
This module focuses on utilizing Python and Python packages to collect data from different sources. You will also learn how to integrate data from various sources into a unified dataset for further processing and analysis.
Understand and communicate statistical aspects of datasets, prepare data for visualization, and create accurate visualizations using Pandas, Matplotlib, and Seaborn.
Learn the importance of data processing and manipulation in data analysis, handle missing values and outliers, and perform multidimensional aggregation for exploratory analysis.
Conduct a data wrangling project from raw data to a refined dataset, apply data wrangling techniques to real-life scenarios, and effectively present data wrangling results to stakeholders using Python libraries and tools.
Prepare for a career in data analytics with Google's program. Learn key skills, tools, and techniques to excel in this high-growth field.
Building Data Visualization Tools equips learners with the skills to create new visualization techniques and building blocks, using the ggplot2 framework. Gain the...
Learn the power of regular expressions in Python to extract and clean text data effectively in this comprehensive guided project.
Plots Creation using Matplotlib Python By the end of this project, you will be able to plot graphs, create boxplots, set labels and legends, and save graphs as images...