Unlock the power of Applied Data Analytics with Python and SQL, gaining hands-on experience in data manipulation, querying, and analysis. This course will teach you how to efficiently use Python for processing and analyzing data, while leveraging SQL to manage and query databases. You'll develop the skills needed to extract meaningful insights and apply data-driven solutions to real-world challenges, preparing you to make informed decisions in any industry. By the end of this course, you鈥檒l be able to: - Categorize Python tokens and different data types used in Python. - Implement conditional statements to control the flow of execution in Python programs. - Leverage Pandas and NumPy for effective data manipulation, cleaning, and analysis. - Explore and apply SQL to retrieve and manage data in relational databases. This course is designed for beginners, data enthusiasts, and aspiring data scientists who want to build a strong foundation in Python programming and modeling data. No prior programming experience is required, although familiarity with the basics of RDBMS and programming concepts will be helpful. Join us to start your journey into data analysis and programming with Python!
Web Scraping Process Flow
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Skills You'll Learn
Web Scraping, Databases, Microsoft SQL Servers, Data Analysis, Data Manipulation, Data Processing, Programming Principles, NumPy, Data Literacy, SQL, Data Cleansing, Database Management, Scripting, Pandas (Python Package), Data Visualization, Scripting Languages, Python Programming, Data Visualization Software
From the lesson
Web Scraping and SQL
In this module, learners will explore methods for gathering information from various sources on the internet. They will utilize different Python libraries to process and organize the data for thorough evaluation, as well as connect MS SQL Server with Python.
Taught By
Edureka