Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer
If you are a newbie in the field of ethical hacking or want to become an ethical hacker, this course is just what will get you started. This is a comprehensive course with real-world examples to help you understand the fundamentals of hacking and cyber security.
This course provides an overview of financial statements and auditing, covering topics such as the purpose of financial statements, the different types of financial statements, the auditing process, and the roles and responsibilities of auditors. After the successful completion of the course, you will be able to learn about the following; Understand the accounting concept, including its definition and its role in business. Identify the historical events and developments that have shaped financial accounting practices. Define financial statements and describe their purpose in financial reporting. Differentiate between the different types of financial statements, including balance sheets, income statements, cash flow statements, statements of changes in net assets, and notes to the financial statements. Explain the concept of auditing and its importance in ensuring the accuracy and reliability of financial statements. Trace the evolution of auditing systems over time and describe the key developments that have shaped modern auditing practices. Identify the different types of audits, including external, internal, and government audits. Describe the four phases of an audit cycle and the activities during each phase. Define the role of an auditor and identify the key skills and functions required to be an effective auditor. This course provides a comprehensive introduction to financial accounting and auditing, covering the fundamental principles and concepts that underpin these fields. The course begins by exploring the concept of accounting and its historical development, providing students with a broad understanding of the role that accounting plays in business. The course then delves into financial statements, examining the different types of financial statements organizations use to report their financial performance, including balance sheets, income statements, cash flow statements, and statements of changes in net assets. Students will learn how to read and interpret these financial statements and understand the key metrics and ratios used to assess a company's financial health. This course provides an overview of financial statements and auditing, covering topics such as the purpose of financial statements, the different types of financial statements, the auditing process, and the roles and responsibilities of auditors. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Understanding the Basics of Financial Statements & Auditing Self-paced pre-recorded learning content on this topic. Understanding the Basics of Financial Statements & Auditing Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Accountants Auditors Financial analysts Investment analysts Business managers Entrepreneurs Financial consultants Tax professionals Bankers Students pursuing a degree in accounting or finance Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
Agile management is the application of the principles of Agile software development to various management processes, particularly project management. It is particularly beneficial for those in the organization accountable for getting the most out of Scrum, including Scrum masters, managers, and Scrum team members.
In this course, you will learn everything a candidate needs to excel in the AWS Certificate Practitioner exam CLF-C01 . This course contains a practice test along with the solutions to make sure how to clear the exam by analyzing each of the options and putting your knowledge into practice.
This course will provide the information you need to master the Raspberry Pi 3 and Raspberry Pi 4. It walks you through everything you need to know to use the platform to the fullest and assumes no prior programming or electronics knowledge. The course also covers details about Raspberry Pi OS and Raspberry Pi Imager.
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