What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Applied Data Analytics Specialization
Instructor: Edureka
Included with
Recommended experience
Intermediate level
No prior experience is required, but knowledge of RDBMS, and coding skills are recommended.
Recommended experience
Intermediate level
No prior experience is required, but knowledge of RDBMS, and coding skills are recommended.
Write Python programs using core concepts like variables, data types, and control flow.
Implement NumPy and Pandas to analyze and process large datasets efficiently and accurately.
Create insightful data visualizations with Matplotlib, Seaborn, and Plotly for effective reporting.
Execute SQL queries to retrieve, manage, and analyze data from relational databases accurately.
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December 2024
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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’ll 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!
This module is designed to help learners take a significant step towards launching their careers in data analytics. In the first week, we'll explore how Python programming concepts that are essential for creating efficient programs. Additionally, we'll delve into the role of pre-defined Python features in data analysis. Let's get started!
38 videos8 readings5 assignments3 discussion prompts
During week two of the course, Learners will be taught how to handle data with NumPy and Pandas in various formats while developing skills to represent data visually using different types of charts and graphics.
19 videos5 readings4 assignments
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.
33 videos4 readings5 assignments
This module is designed to assess an individual on the various concepts and teachings covered in this course. Evaluate your knowledge with a comprehensive graded quiz on Python programming concepts, Data manipulation with NumPy and Pandas with Web-Scraping with Python
1 video1 reading1 assignment1 discussion prompt
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip themselves with industry-relevant skills in today’s cutting edge technologies.
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This course offers a thorough practical application of Python and SQL. Created for Python enthusiasts, it focuses on hands-on skills for manipulating and analyzing data, allowing students to address actual data problems.
Learners will delve into the basics of Python and utilize tools such as NumPy and Pandas for effective data management. They will additionally make use of visualization tools like Matplotlib, Seaborn, and Plotly to present their findings in an efficient manner. Moreover, the course includes instruction on utilizing SQL for data manipulation, empowering students with the skills needed to make informed decisions based on data.
At the conclusion of the course, you will be fully equipped to utilize these skills in different data analysis situations, establishing a solid groundwork for future studies in data analytics.
This course is designed for:
- Freshers looking to enter the fields of data analysis, data science, or artificial intelligence.
- Individuals with a keen interest in programming who want to enhance their technical skills.
- Professionals seeking to upskill in Python and data manipulation with SQL for practical applications in their careers.
- Anyone curious about data and eager to learn how to analyze and visualize it effectively.
Whether you're starting your tech journey or looking to build a strong foundation, this course will guide you through the essentials of Python and SQL.
The course utilizes Google Colab and MS SQL Server as the primary platform for coding operations. Learners may also use integrated development environments (IDEs) like Jupyter Notebook, PyCharm, Spyder, or VS Code for more extensive coding projects if desired.
Install MS SQL Server and required Python libraries with corresponding IDE's such as PyCharm, Spyder, VS Code etc.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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