Overview With the ever-increasing demand for Android Games Development in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Android Games Development may be. Learning about Android Games Development or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Android Games Development. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Android Games Development is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by Compete High in this Introduction to Android Games Development course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Introduction to Android Games Development course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Introduction to Android Games Development course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Android Games Development, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Android Games Development, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Android Games Development, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Introduction to Android Games Development course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module-1 First Steps with the Android SDK First Steps with the Android SDK 00:00 Module-2 Game Development 101 Game Development 101 00:00 Module-3 Android for Game Developers Android for Game Developers 00:00 Module-4 An Android Game Development Framework An Android Game Development Framework 00:00
Unlock the fundamentals of Investment Banking with our comprehensive course designed for aspiring financial professionals. Whether you're starting your career or aiming to deepen your understanding, our "Introduction to Investment Banking" covers everything you need to know. Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access This course on Introduction to Investment Banking covers essential topics that equip learners with a deep understanding of the field. Students will gain knowledge about the principles and practices of investment banking, including its ethical considerations. They will explore the intricate structures and various aspects involved in investment banking operations. A focus on valuation methods will enable learners to assess the worth of companies and assets accurately. They will also delve into the processes of Initial Public Offerings (IPOs), understanding how companies go public. Additionally, the course covers Merger and Acquisition (M&A) transactions, providing insights into how companies merge or acquire others. Lastly, learners will study Leveraged Buyouts (LBOs), learning about the financial strategies used to acquire companies using borrowed funds. Overall, this curriculum offers a comprehensive foundation in investment banking, preparing students for roles where financial expertise and strategic insights are crucial. Course Curriculum Module 01: Introduction to Investment Banking Module 02: Ethics in Investment Banking Module 03: Structure and Sides of Investment Banking Module 04: Valuation Methods in Investment Banking Module 05: Initial Public Offering (IPO) Module 06: Merger and Acquisition (M&A) Module 07: Leveraged Buyout (LBO) Learning Outcomes: Understand fundamentals of Investment Banking operations and terminology. Apply ethical principles in various scenarios within Investment Banking. Analyse the structure and functions of Investment Banking organisations. Utilise different valuation methods for financial analysis in Investment Banking. Evaluate processes involved in Initial Public Offerings (IPOs) in Investment Banking. Examine strategies and implications of Mergers and Acquisitions (M&A) in finance. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Graduates seeking finance sector careers. Professionals in finance exploring Investment Banking. Individuals interested in financial markets and corporate finance. Business students focusing on finance and banking. Anyone aiming for roles in financial advisory services. Career path Investment Analyst Corporate Finance Manager Mergers and Acquisitions Specialist Financial Advisor Equity Research Analyst Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Are you fascinated by the world of financial crime? Ready to delve into the intricate art of investigation? Our comprehensive Financial Investigator Training is designed just for you! Key Features: CPD Certified Free Certificate Developed by Specialist Lifetime Access In the Financial Investigator Training, learners will explore the fundamentals of financial investigation, including the various types and characteristics of financial crimes. They will gain a comprehensive understanding of the laws and regulations aimed at combating financial fraud. Through practical exercises, they will develop skills in collecting, preserving, and analyzing evidence crucial to financial investigations. Additionally, participants will learn about the role and responsibilities of a financial investigator, along with the essential components of a financial crime response plan. This curriculum equips learners with the knowledge and techniques necessary to identify, investigate, and respond to various forms of financial crime effectively. Course Curriculum Module 01: Introduction to Financial Investigation Module 02: Introduction to Financial Investigator Module 03: Categories of Financial Crimes Module 04: Characteristics of Financial Crimes Module 05: Laws against Financial Fraud Module 06: Collecting, Preserving and Gathering Evidence Module 07: Financial Crime Response Plan Learning Outcomes: Identify key concepts in financial investigation techniques for introductory understanding. Recognize the role and responsibilities of a financial investigator proficiently. Classify various types of financial crimes accurately and categorically. Describe essential characteristics distinguishing different forms of financial crimes concisely. Summarise relevant laws concerning financial fraud adequately and comprehensively. Demonstrate proficiency in collecting, preserving, and handling evidentiary material meticulously. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Law enforcement professionals seeking financial investigation specialisation. Financial analysts aiming to broaden their skill set in investigation techniques. Compliance officers wishing to enhance their understanding of financial crimes. Legal professionals interested in gaining expertise in financial fraud investigation. Anyone looking to pursue a career in financial crime investigation. Career path Financial Investigator Fraud Analyst Compliance Officer Intelligence Analyst Law Enforcement Officer Forensic Accountant Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Overview This comprehensive course on SQL NoSQL Big Data and Hadoop will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This SQL NoSQL Big Data and Hadoop comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? At the end of the course there will be an online written test, which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this SQL NoSQL Big Data and Hadoop. It is available to all students, of all academic backgrounds. Requirements Our SQL NoSQL Big Data and Hadoop is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 130 lectures • 22:34:00 total length •Introduction: 00:07:00 •Building a Data-driven Organization - Introduction: 00:04:00 •Data Engineering: 00:06:00 •Learning Environment & Course Material: 00:04:00 •Movielens Dataset: 00:03:00 •Introduction to Relational Databases: 00:09:00 •SQL: 00:05:00 •Movielens Relational Model: 00:15:00 •Movielens Relational Model: Normalization vs Denormalization: 00:16:00 •MySQL: 00:05:00 •Movielens in MySQL: Database import: 00:06:00 •OLTP in RDBMS: CRUD Applications: 00:17:00 •Indexes: 00:16:00 •Data Warehousing: 00:15:00 •Analytical Processing: 00:17:00 •Transaction Logs: 00:06:00 •Relational Databases - Wrap Up: 00:03:00 •Distributed Databases: 00:07:00 •CAP Theorem: 00:10:00 •BASE: 00:07:00 •Other Classifications: 00:07:00 •Introduction to KV Stores: 00:02:00 •Redis: 00:04:00 •Install Redis: 00:07:00 •Time Complexity of Algorithm: 00:05:00 •Data Structures in Redis : Key & String: 00:20:00 •Data Structures in Redis II : Hash & List: 00:18:00 •Data structures in Redis III : Set & Sorted Set: 00:21:00 •Data structures in Redis IV : Geo & HyperLogLog: 00:11:00 •Data structures in Redis V : Pubsub & Transaction: 00:08:00 •Modelling Movielens in Redis: 00:11:00 •Redis Example in Application: 00:29:00 •KV Stores: Wrap Up: 00:02:00 •Introduction to Document-Oriented Databases: 00:05:00 •MongoDB: 00:04:00 •MongoDB Installation: 00:02:00 •Movielens in MongoDB: 00:13:00 •Movielens in MongoDB: Normalization vs Denormalization: 00:11:00 •Movielens in MongoDB: Implementation: 00:10:00 •CRUD Operations in MongoDB: 00:13:00 •Indexes: 00:16:00 •MongoDB Aggregation Query - MapReduce function: 00:09:00 •MongoDB Aggregation Query - Aggregation Framework: 00:16:00 •Demo: MySQL vs MongoDB. Modeling with Spark: 00:02:00 •Document Stores: Wrap Up: 00:03:00 •Introduction to Search Engine Stores: 00:05:00 •Elasticsearch: 00:09:00 •Basic Terms Concepts and Description: 00:13:00 •Movielens in Elastisearch: 00:12:00 •CRUD in Elasticsearch: 00:15:00 •Search Queries in Elasticsearch: 00:23:00 •Aggregation Queries in Elasticsearch: 00:23:00 •The Elastic Stack (ELK): 00:12:00 •Use case: UFO Sighting in ElasticSearch: 00:29:00 •Search Engines: Wrap Up: 00:04:00 •Introduction to Columnar databases: 00:06:00 •HBase: 00:07:00 •HBase Architecture: 00:09:00 •HBase Installation: 00:09:00 •Apache Zookeeper: 00:06:00 •Movielens Data in HBase: 00:17:00 •Performing CRUD in HBase: 00:24:00 •SQL on HBase - Apache Phoenix: 00:14:00 •SQL on HBase - Apache Phoenix - Movielens: 00:10:00 •Demo : GeoLife GPS Trajectories: 00:02:00 •Wide Column Store: Wrap Up: 00:05:00 •Introduction to Time Series: 00:09:00 •InfluxDB: 00:03:00 •InfluxDB Installation: 00:07:00 •InfluxDB Data Model: 00:07:00 •Data manipulation in InfluxDB: 00:17:00 •TICK Stack I: 00:12:00 •TICK Stack II: 00:23:00 •Time Series Databases: Wrap Up: 00:04:00 •Introduction to Graph Databases: 00:05:00 •Modelling in Graph: 00:14:00 •Modelling Movielens as a Graph: 00:10:00 •Neo4J: 00:04:00 •Neo4J installation: 00:08:00 •Cypher: 00:12:00 •Cypher II: 00:19:00 •Movielens in Neo4J: Data Import: 00:17:00 •Movielens in Neo4J: Spring Application: 00:12:00 •Data Analysis in Graph Databases: 00:05:00 •Examples of Graph Algorithms in Neo4J: 00:18:00 •Graph Databases: Wrap Up: 00:07:00 •Introduction to Big Data With Apache Hadoop: 00:06:00 •Big Data Storage in Hadoop (HDFS): 00:16:00 •Big Data Processing : YARN: 00:11:00 •Installation: 00:13:00 •Data Processing in Hadoop (MapReduce): 00:14:00 •Examples in MapReduce: 00:25:00 •Data Processing in Hadoop (Pig): 00:12:00 •Examples in Pig: 00:21:00 •Data Processing in Hadoop (Spark): 00:23:00 •Examples in Spark: 00:23:00 •Data Analytics with Apache Spark: 00:09:00 •Data Compression: 00:06:00 •Data serialization and storage formats: 00:20:00 •Hadoop: Wrap Up: 00:07:00 •Introduction Big Data SQL Engines: 00:03:00 •Apache Hive: 00:10:00 •Apache Hive : Demonstration: 00:20:00 •MPP SQL-on-Hadoop: Introduction: 00:03:00 •Impala: 00:06:00 •Impala : Demonstration: 00:18:00 •PrestoDB: 00:13:00 •PrestoDB : Demonstration: 00:14:00 •SQL-on-Hadoop: Wrap Up: 00:02:00 •Data Architectures: 00:05:00 •Introduction to Distributed Commit Logs: 00:07:00 •Apache Kafka: 00:03:00 •Confluent Platform Installation: 00:10:00 •Data Modeling in Kafka I: 00:13:00 •Data Modeling in Kafka II: 00:15:00 •Data Generation for Testing: 00:09:00 •Use case: Toll fee Collection: 00:04:00 •Stream processing: 00:11:00 •Stream Processing II with Stream + Connect APIs: 00:19:00 •Example: Kafka Streams: 00:15:00 •KSQL : Streaming Processing in SQL: 00:04:00 •KSQL: Example: 00:14:00 •Demonstration: NYC Taxi and Fares: 00:01:00 •Streaming: Wrap Up: 00:02:00 •Database Polyglot: 00:04:00 •Extending your knowledge: 00:08:00 •Data Visualization: 00:11:00 •Building a Data-driven Organization - Conclusion: 00:07:00 •Conclusion: 00:03:00 •Assignment -SQL NoSQL Big Data and Hadoop: 00:00:00
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