Welcome to “Learn Python, JavaScript, and Microsoft SQL for Data Science”! This comprehensive course is your ultimate guide to mastering three essential technologies for data science: Python, Java
Overview: Welcome to “Learn Python, JavaScript, and Microsoft SQL for Data Science”! This comprehensive course is your ultimate guide to mastering three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Python serves as the primary language for data analysis and machine learning, while JavaScript enables interactive data visualization on the web. Microsoft SQL is a powerful relational database management system widely used for storing and querying data. By combining these three technologies, you’ll gain the skills and knowledge needed to excel in the field of data science. Interactive video lectures by industry experts Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with Professional voice-over Developed by qualified first aid professionals Self paced learning and laptop, tablet, smartphone friendly 24/7 Learning Assistance Discounts on bulk purchases Main Course Features: In-depth coverage of Python fundamentals for data analysis and machine learning Hands-on projects and exercises to reinforce Python programming skills Exploration of JavaScript libraries like D3.js for data visualization Implementation of interactive data visualizations using JavaScript Thorough understanding of Microsoft SQL for data storage and querying Writing SQL queries to retrieve and manipulate data in Microsoft SQL Server Real-world case studies and examples to demonstrate the integration of Python, JavaScript, and SQL in data science projects Access to a supportive online community for collaboration and assistance Who Should Take This Course: Aspiring data scientists seeking to build a strong foundation in essential technologies for data science Programmers and developers interested in expanding their skill set to include Python, JavaScript, and SQL for data analysis and visualization Students and professionals aiming to pursue a career in data science or related fields Learning Outcomes: Master Python programming for data analysis, machine learning, and data manipulation Develop interactive data visualizations using JavaScript libraries like D3.js Utilize Microsoft SQL for data storage, retrieval, and manipulation Write complex SQL queries to extract insights from relational databases Integrate Python, JavaScript, and SQL for end-to-end data science projects Build a portfolio of data science projects showcasing proficiency in Python, JavaScript, and SQL Debug and troubleshoot code effectively in Python, JavaScript, and SQL environments Stay updated with the latest trends and advancements in data science and technology. Certification Once you’ve successfully completed your course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. Assessment At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
Section 01: JavaScript Introduction Section 02: JavaScript Basics Section 03: JavaScript Operators Section 04: JavaScript Conditional Statements Section 05: JavaScript Control Flow Statements Section 06: JavaScript Functions Section 07: JavaScript Error Handling Section 08: JavaScript Client-Side Validations Section 09: Python Introduction Section 10: Python Basic Section 11: Python Strings Section 12: Python Operators Section 13: Python Data Structures Section 14: Python Conditional Statements Section 15: Python control flow statements Section 16: Python core games Section 17: Python functions Section 18: Python args, KW args for Data Science Section 19: Python project Section 20: Python Object oriented programming [OOPs] Section 21: Python Methods Section 22: Python Class and Objects Section 23: Python Inheritance and Polymorphism Section 24: Python Encapsulation and Abstraction Section 25: Python OOPs Games Section 26: Python Modules and Packages Section 27: Python Error Handling Section 28: Microsoft SQL[MS] Introduction Section 29: MS SQL Statements Section 30: MS SQL Filtering Data Section 31: MS SQL Functions Section 32: MS SQL Joins Section 33: MS SQL Advanced commands Section 34: MS SQL Structure and Keys Section 35: MS SQL Queries Section 36: MS SQL Structure queries Section 37: MS SQL Constraints Section 38: MS SQL Backup and Restore
Welcome to the online learning platform of SHEHU SHAGARI MODEL ISLAMIC CENTRE (SSMIC) Abuja. Located at the prestigious Shehu Shagari Central Mosque, Area 1 Section 2, Garki - Abuja, SSMIC has long been a beacon of integrated Islamic and conventional education, dedicated to fostering both academic excellence and profound moral values.
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