Course details
Embark on a transformative journey into the realm of data science with our dynamic course, "Data Science: Python, JavaScript, and ; Immerse yourself in the fascinating world where Python, JavaScript, and SQL converge to unlock the secrets of data manipulation and analysis. This course is not just a series of lessons; it's an odyssey that invites you to dive into the heart of data science, discovering the power these languages hold in unraveling complex datasets. Through creative exercises and engaging real-world scenarios, you'll gain hands-on experience, equipping yourself with essential skills that transcend theoretical knowledge.Learning Outcomes:
- Master Python, JavaScript, and SQL for seamless integration in data science projects.
- Develop proficiency in handling diverse datasets and performing data analysis with precision.
- Acquire advanced coding techniques to enhance your problem-solving capabilities.
- Gain insights into leveraging Python, JavaScript, and SQL in tandem for comprehensive data solutions.
- Cultivate a deep understanding of data visualization, transforming raw information into compelling insights.
- 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
Eligibility / Requirements
Why Buy This Data science: Python, JavaScript and SQL Course:
- Uncover the synergy of Python, JavaScript, and SQL to elevate your data science expertise.
- Engage in video-based exercises designed to reinforce your learning in a real-world context.
- Access cutting-edge insights and techniques, staying ahead in the ever-evolving field of data science.
- Benefit from a hands-on learning approach that ensures immediate application of acquired skills.
- Acquire a competitive edge with a holistic understanding of data manipulation and analysis.
- Aspiring data scientists seeking a comprehensive foundation in Python, JavaScript, and SQL.
- Professionals looking to enhance their coding proficiency for effective data manipulation.
- Analysts and researchers aiming to unlock new dimensions in data visualization.
- Individuals keen on mastering the art of integrating multiple programming languages for robust solutions.
- Enthusiasts with a curiosity for data science, ready to embark on a transformative learning journey.
Job roles this course is suitable for:
Data Scientist , Data Analyst , Machine Learning Engineer , Web Developer , Software EngineerAbout Skill Up
Skillup is a learning platform that provides one of the most engaging e-learning experiences available. Among the large choice of training courses available, you'll undoubtedly find something that suits you. We can assist you in achieving your objectives, whether it's to improve your current knowledge or gain new skills. In addition to our professionally accredited courses, we offer a free CV evaluation within 24 hours of submitting your application.
Assessment and Certification
You will be expected to take an online multiple-choice test at the end of the course. Your exam will be graded automatically and promptly, so you'll know right away whether or not you passed. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £6.99 for a PDF copy and £9.99 for an original print copy sent to you by post or for both at £14.99.
