2436 Programming courses

Assuming that you don't know anything about web scraping, Scrapy, Python, web scraping, or even the meaning of web scraping-the author starts from the complete basics. A well-balanced course with theory and practical content followed by three projects at the end ensures you have the right skills to learn scraping.

Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 3.5 Days 21 CPD hours This course is intended for This course is aimed at students new to the language who may or may not have experience with other programming languages. Overview Learn how Python works and what it's good for. Understand Python's place in the world of programming languages Learn to work with and manipulate strings in Python. Learn to perform math operations with Python. Learn to work with Python sequences: lists, arrays, dictionaries, and sets. Learn to collect user input and output results. Learn flow control processing in Python. Learn to write to and read from files using Python. Learn to write functions in Python. Learn to handle exceptions in Python. Learn to work with dates and times in Python. In this Python training course by Webucator, Inc, students learn to program in Python. Python Basics Running Python Hello, World! Literals Python Comments Data Types Variables Writing a Python Module print() Function Named Arguments Collecting User Input Getting Help Functions and Modules Defining Functions Variable Scope Global Variables Function Parameters Returning Values Importing Modules Math Arithmetic Operators Modulus and Floor Division Assignment Operators Built-in Math Functions The math Module The random Module Seeding Python Strings Quotation Marks and Special Characters String Indexing Slicing Strings Concatenation and Repetition Common String Methods String Formatting Built-in String Functions Iterables: Sequences, Dictionaries, and Sets Definitions Sequences Unpacking Sequences Dictionaries The len() Function Sets *args and **kwargs Flow Control Conditional Statements The is and is not Operators Python's Ternary Operator Loops in Python The enumerate() Function Generators List Comprehensions File Processing Opening Files The os and os.path Modules Exception Handling Wildcard except Clauses Getting Information on Exceptions The else Clause The finally Clause Using Exceptions for Flow Control Exception Hierarchy Dates and Times Understanding Time The time Module The datetime Module Running Python Scripts from the Command Line The sys Module sys.argv

***24 Hour Limited Time Flash Sale*** Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Immerse yourself in the world of Data Science, Machine Learning and Python with our exclusive bundle! Presenting eight thoughtfully curated courses, this bundle aims to enhance your understanding of intricate concepts. Within this collection, we proudly offer three QLS-endorsed courses: "2021 Data Science & Machine Learning with R from A-Z", "Excel Pivot Tables, Pivot Charts, Slicers, and Timelines", and "Machine Learning with Python", each complemented by a hardcopy certificate upon completion. Additionally, delve deeper with our five relevant CPD QS accredited courses. Explore Python Data Science with Numpy, Pandas, and Matplotlib. Uncover the secrets of R Programming for Data Science, enhance your statistical prowess with Statistics & Probability for Data Science & Machine Learning, and master spatial visualisation in Python. To top it all, there's a course on Google Data Studio for Data Analytics. Key Features of the Data Science & Machine Learning, Excel Pivot & Machine Learning with Python Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: 2021 Data Science & Machine Learning with R from A-Z QLS Course 02: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Python Data Science with Numpy, Pandas and Matplotlib Course 02: R Programming for Data Science Course 03: Statistics & Probability for Data Science & Machine Learning Course 04: Spatial Data Visualisation and Machine Learning in Python Course 05: Google Data Studio: Data Analytics In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Data Science & Machine Learning, Excel Pivot & Machine Learning with Python courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Master the usage of Excel Pivot Tables, Pivot Charts, Slicers, and Timelines. Develop proficiency in Machine Learning using Python. Acquire skills to manipulate data using Numpy, Pandas, and Matplotlib. Learn to code in R for Data Science applications. Understand the application of Statistics & Probability in Data Science & Machine Learning. Learn to create impactful data visualisations and analyse data using Google Data Studio. The "Data Science & Machine Learning, Excel Pivot & Machine Learning with Python" bundle is a comprehensive compilation designed to equip you with the theoretical knowledge necessary for the fast-evolving data-driven world. The three QLS-endorsed courses provide foundational understanding in Data Science, Machine Learning with R, Excel Pivot functionalities, and Machine Learning with Python, thereby setting a strong base. Furthermore, the five CPD QS accredited courses offer a deeper dive into the world of Data Science. Whether it is harnessing Python's power for data science tasks, exploring R programming, mastering statistical techniques, understanding spatial data visualisation in Python, or learning to navigate Google Data Studio for Data Analytics, this bundle has you covered. With this comprehensive learning experience, gain the theoretical insight needed to navigate and succeed in the dynamic field of data science. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in theoretical concepts of Data Science and Machine Learning. Professionals looking to enhance their knowledge in Excel Pivot Tables and Charts. Aspiring data scientists who want to learn Python and R programming for data science. Anyone seeking to understand data visualisation and analytics through Python and Google Data Studio. Career path Data Scientist: Leveraging data for actionable insights (£40,000 - £90,000 per annum). Machine Learning Engineer: Designing and implementing machine learning systems (£50,000 - £90,000 per annum). Excel Analyst: Using Excel for data analysis and visualisation (£30,000 - £60,000 per annum). Python Developer: Developing applications using Python (£40,000 - £80,000 per annum). Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want This Python Hacking Complete Course will help you learn about configuring IP addresses and installing Metasploitable, adding raw input to the port scanner, returning banners from the open port, finishing and testing the scanner and many more. This course at a glance Accredited by CPD UK Endorsed by Quality Licence Scheme The key elements of Python hacking. The introduction of Python and the process of installing its step-up program. What are SSH and FTP attacks and how to deal with them. How to crack the password using Python hacking What are sniffers, flooders and spoofers. What is coding DNS spoofer and learn the steps involved in the process. What is network analysis and how it is beneficial for Python hacking. Understand what is multi-functioning Reverse and gain in-depth knowledge of the same. The website penetration testing and how to use it for effective Python hacking. Why Python Hacking Complete Course right for you? This Python Hacking Complete Course is the perfect way to kickstart your career in the field of Python programming. This online course will provide you with a comprehensive understanding of the VirtualBox and Kali Linux installation. You will also get to understand the port and vulnerability scanning so as to gain proficiency in Python hacking. By the end of the course, you will have theoretical knowledge of Python hacking and understand the tools and strategies required to master hacking using Python programming. Python Hacking Complete Course Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction and Setup Welcome to Python for Ethical Hacking! VirtualBox installation Kali Linux Installation Adding Guest Additions Port and Vulnerability Scanning Coding a Simple Port Scanner Adding Raw_Input to Our Port Scanner Scanning the First 1,000 Ports Coding an Advanced Port Scanner Part 1 Coding an Advanced Port Scanner Part 2 Finishing and Testing our Scanner Configuring IP Address and Installing Metasploitable Returning Banner from Open Port Coding a Vulnerability Scanner Part 1 Coding a Vulnerability Scanner Part 2 SSH and FTP Attacks Automating SSH Login Part 1 Automating SSH Login Part 2 Testing Our SSH Login Program Coding a SSH Brute-Forcer Executing Commands on Target After Brute-Forcing SSH Anonymous FTP Login Attack Username & Password List Attack on FTP Password Cracking SHA256, SHA512, MD5 Cracking SHA1 Hash with Online Dictionary Getting Password from MD5 Hash Cracking crypt passwords with salt Sniffers, Flooders and Spoofers Changing MAC Address Manually Coding MAC Address Changer Theory Behind ARP Spoofing Crafting Malicious ARP Packet Coding ARP Spoofer Forwarding Packets and Restoring ARP Tables Spoofing Our IP Address and Sending Message with TCP Payload Running SynFlooder with Changed Source IP Address Getting Source and Destination MAC Address from Received Packets Sniffing FTP Username and Password Part 1 Sniffing FTP Username and Password Part 2 Getting Passwords from HTTP Websites Cloning Any Webpage Printing DNS Queries Coding DNS Spoofer Redirecting Response to Cloned Page Setting IP Table Rules and Running DNS Spoofer Network Analysis Analyzing Ethernet Header Analyzing IP Header Part 1 Analyzing IP Header Part 2 Analyzing TCP Header Multi-Functioning Reverse Theory Behind Socket Programming Wine and Pyinstaller Installation Setting Up Listener Establishing Connection Between Target and Server Implementing Send & Receive Functions Executing Commands on Target System Importing JSON Library to Parse Data Converting Python backdoor to .exe Using OS library to Change Directory Downloading & Uploading Files to Target PC Hiding our Backdoor and Creating Persistence Trying to Connect to Server Every 20 Seconds Downloading Files to Target PC Capturing Screenshot on Target PC Administrator Privilege Check Starting Other Programs with Our Shell Running Our Shell As an Image, Audio, PDF Coding a Keylogger Installing Pynput Printing Space Character Calling Timer on Our Keylogger Adding Keylogger to Our Backdoor Command and Control Center What is a Threaded Server? Accepting Connections with a Thread Managing Multiple Sessions Testing Threaded Server with Windows 10 target Fixing Q Command Coding Exit Function Attacking Multiple Targets and Gathering Botnet Website Penetration Testing Stealing Saved Wireless Passwords Saving Passwords to a File Bruteforcing Gmail Bruteforcing Any Login Page Part 1 Bruteforcing Any Login Page Part 2 Finding Hidden Directories Part 1 Finding Hidden Directories Part 2 Discovering Subdomains Changing HTTP Headers Starting Basic and Digest Authentication Bruteforcer Controlling Threads Coding Run Function Printing Usage and Testing Our Program Taking a Look at Ransomware Who should take this course? This comprehensive Python Hacking Complete Course is specially designed for Python developers interested in network security and ethical hacking. Those aspiring to accelerate their career in Python programming or want to improve their job prospects can also take this career-advancement Python hacking course. Entry Requirements There are no academic entry requirements for this Python Hacking Complete course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This Python Hacking Complete Course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner can grasp from each section. In the assessment pass mark is 60%. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org

Duration 5 Days 30 CPD hours This course is intended for This course is intended for individuals who are Application designers and database developers, database administrators and web server administrators. Overview Upon successful completion of this course, students will be able to work with Oracle database programming using the PL/SQL programming language. They will learn the syntax, structure and features of the language. In this course, students will learn the foundation for the programming series and the use of database-resident stored program units for Oracle 12c. Selection & Setup of the Database Interface Considering Available Tools Selecting the Appropriate Tool Oracle Net Database Connections Oracle PAAS Database Connections Setup SQL Developer Setup SQL*Plus Setup Jdeveloper About Bind & Substitution Variables Using SQL Developer Using SQL*Plus Choosing a Database Programming Language What is Database Programming? PL?SQL Performance Advantages Integration wth Other Languages PL/SQL Language Fundamentals PL/SQL Program Structure LANGUAGE SYNTAX RULES EMBEDDING SQL WRITING READABLE CODE GENERATING DATABASE OUTPUT SQL*PLUS INPUT OF A PROGRAM BLOCK Declare Section About the Declare Section DECLARE PRIMITIVE TYPES DECLARATION OPTIONS NOT NULL CONSTANT DATA DICTIONARY INTEGRATION %TYPE DECLARE SIMPLE USER---DEFINED TYPES TYPE... TABLE TYPE... RECORD EXTENDED USER---DEFINED TYPES Begin Section About the Begin Section Manipulating Program Data Logic Control & Branching GOTO LOOP IF-THEN-ELSE CASE Exception Section ABOUT THE EXCEPTION SECTION ISOLATING THE SPECIFIC EXCEPTION PRAGMA EXCEPTION_INIT SQLCODE &SQLERRM Example SQL%ROWCOUNT &SELECT...INTO Beyond the Basics: Explicit Cursors ABOUT EXPLICIT CURSORS EXTENDED CURSOR TECHNIQUES FOR UPDATE OF Clause WHERE CURRENT OF Clause Using FOR?LOOP Cursors Beyond the Basics: Nested BlocksBeyond the Basics: Declared Subprograms USING DECLARED SUBPROGRAMS DECLARED PROCEDURE DECLARED FUNCTION Introducing Databse-Resident Program Units ABOUT DATABASE---RESIDENT PROGRAMS PHYSICAL STORAGE & EXECUTION TYPES OF STORED PROGRAM UNITS STORED PROGRAM UNIT ADVANTAGES MODULAR DESIGN PRINCIPLES Creating Stored Procedures & Functions STORED PROCEDURES & FUNCTIONS CREATE PROCEDURE / CREATE FUNCTION CREATING PROCEDURES & FUNCTIONS RAISE_SALARY() Procedure SALARY_VALID() Function THE PARAMETER SPECIFICATION DEFAULT Clause SYSTEM & OBJECT PRIVILEGES USING THE DEVELOPMENT TOOLS Executing Stored Procedures & Functions CALLING PROCEDURES & FUNCTIONS UNIT TESTING WITH EXECUTE ANONYMOUS BLOCK UNIT TESTING SPECIFYING A PARAMETER NOTATION SQL WORKSHEET UNIT TESTING CALLING FUNCTIONS FROM SQL Maintaining Stored Program Units RECOMPILING PROGRAMS Mass Recompilation Using UTL_RECOMP() DROPPING PROCEDURES & FUNCTIONS DROP PROCEDURE / FUNCTION DATA DICTIONARY METADATA Using USER_OBJECTS Using USER_SOURCE Using USER_ERRORS Using USER_OBJECT_SIZE Using USER_DEPENDENCIES Managing Dependencies DEPENDENCY INTERNALS TRACKING DEPENDENCIES THE DEPENDENCY TRACKING UTILITY SQL DEVELOPER DEPENDENCY INFO DEPENDENCY STRATEGY CHECKLISTS Creating & Maintaining Packages ABOUT PACKAGES CREATING PACKAGES MAINTAINING PACKAGES PERFORMANCE CONSIDERATIONS Advanced Package Capabilities DEFINER & INVOKER RIGHTS WHITE LITS & ACCESSIBLE BY PERSISTENT GLOBAL OBJECTS DEFINING INITIALIZATION LOGIC OBJECT ORIENTATION SUPPORT Advanced Cursor Techniques USING CUSROS VARIABLES USING SYS_REFCURSOR USING CURSOR EXPRESSIONS Using System-Supplied Package DBMS_OUTPUT() UTL_FILE() FOPEN() EXAMPLE Database Trigger Concepts ABOUT DATABASE TRIGGERS DML EVENT TRIGGER SUB---TYPES DATABASE TRIGGER SCENARIO TRIGGER EXECUTION MECHANISMS TRIGGERS WITHIN SQL WORKSHEET Creating Database Triggers STATEMENT-LEVEL TRIGGERS Using RAISE_APPLICATION_ERROR() ROW---LEVEL TRIGGERS EXAMPLES OF TRIGGERS EMPLOYEE_SALARY_CHECK Example EMPLOYEE_JOURNAL Example BUDGET_EVENT Example INSTEAD OF TRIGGERS TRIGGERS WITHIN AN APPLICATION Maintaining Database Triggers CALL SYNTAX TRIGGER MAINTENANCE TASKS SHOW ERRORS TRIGGER DROP TRIGGER ALTER TRIGGER MULTIPLE TRIGGERS FOR A TABLE HANDLING MUTATING TABLE ISSUES Implementing System Event Triggers WHAT ARE SYSTEM EVENT TRIGGERS? DEFININGTHE SCOPE AVAILABLE SYSTEM EVENTS SYSTEM EVENT ATTRIBUTES

Looking to build an AI application from scratch? Look no further than this compact course with ChatGPT! Using the OpenAI API and the latest web development technologies, including React, Next.js, JavaScript, Node, and CSS, you will gain hands-on experience building an AI-powered application that generates pet names for users.

In this course, students will learn general strategies for planning, designing, developing, implementing, and maintaining an IoT system through various case studies and by assembling and configuring an IoT device to work in a sensor network.

Everywhere, from tiny businesses to major corporations, needs people skilled in SQL. In light of this, our online training course has been developed to help you succeed by equipping you with all the necessary skills. The importance of mastering SQL increases if you're looking for your first job in the data industry. You will learn about topics such as SQL fundamentals, data wrangling, SQL analysis, AB testing, distributed computing with Apache Spark, Delta Lake, and more through four increasingly more challenging SQL projects with data science applications. These subjects will equip you with the skills necessary to use SQL creatively for data analysis and exploration, write queries quickly, produce datasets for data analysis, conduct feature engineering, integrate SQL with other data analysis and machine learning toolsets, and work with unstructured data. This Specialisation is designed for a learner with little or no prior coding expertise who wants to become proficient with SQL queries. Experts have meticulously planned out the curriculum for the SQL Skills Training course with years of expertise. As a result, you will find it simple to learn the course material. Learning outcome After finishing the course, you'll Learn to utilise the tools for view creation Become familiar with updating columns and indexed views Be able to test and debug Be able to search a database using SQL Become more familiar with inline table-valued functions Learn the fundamentals of transactions and multiple statements Why Prefer US? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** SQL Programming Course Module 01: Course Introduction Introduction Course Curriculum Overview Overview of Databases Module 02: SQL Environment Setup MySQL Installation MySQL Workbench Installation Connecting to MySQL using Console Module 03: SQL Statement Basics Overview of Challenges SQL Statement Basic SELECT Statement SELECT DISTINCT Column AS Statement COUNT built-in Method usage SELECT WHERE Clause - Part One SELECT WHERE Clause - Part Two Statement Basic Limit Clause Statement Using BETWEEN with Same Column Data How to Apply IN Operator Wildcard Characters with LIKE and ILIKE Module 04: GROUP BY Statements Overview of GROUP BY Aggregation function SUM() Aggregation MIN() and MAX() GROUP BY - One GROUP BY - Two HAVING Clause Module 05: JOINS Overview of JOINS Introduction to JOINS AS Statement table INNER Joins FULL Outer Join LEFT Outer JOIN RIGHT JOIN Union Module 06: Advanced SQL Commands / Statements Timestamps EXTRACT from timestamp Mathematical Functions String Functions SUBQUERY Module 07: Creating Database and Tables Basic of Database and Tables Data Types Primary key and Foreign key Create Table in SQL Script Insert Update Delete Alter Table Drop-Table NOT NULL Constraint UNIQUE Constraint Module 08: Databases and Tables Creating a Database backup 10a Overview of Databases and Tables 10c Restoring a Database CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course can be helpful for anyone working in the SQL fields, whether self-employed or employed, regardless of their career level. Requirements You will not need any prior background or expertise to enrol in this course. Career path The vocation of SQL Skills Training moves very quickly but pays well. This position provides unparalleled satisfaction. This is your opportunity to learn more and start changing things. Query Language Developer Server Database Manager Python Developer Technical Consultant Project Implementation Manager Software Developer (SQL) Certificates Certificate of completion Digital certificate - £10

IT Level 2 Learning IT Level 2 is fundamental for everybody hoping to improve their profitability and proficiency when working with accounting pages, word handling and introduction programming - regardless of whether you are hoping to improve your ranges of abilities and potential at your work environment or are basically hoping to improve your capacities for home use. This course gives an extensive manual for utilizing word handling, bookkeeping pages and introduction programming in the most expert and viable manner conceivable. From how to adjust, space and arrange Word archives and viable Excel organizing abilities, to making the most expert introductions in programs like PowerPoint, this course covers all you require to think about IT Level 2! You Will Learn Step by step instructions to organize, adjust and utilize distinctive text style styles in word preparing programming Instructions to oversee and design your bookkeeping page information adequately The study of arranging and sifting information to improve the usefulness of your accounting pages Step by step instructions to make and organize proficient introductions and incorporate components like symbolism, charts and sound Advantages of Taking This Course You will improve your odds of an advancement at work by expanding your range of abilities You will improve your odds of getting your fantasy work by adding fundamental abilities to your resume You will expand your efficiency and notoriety at work by figuring out how to function more intelligent You will save time by figuring out how to function proficiently when utilizing programming