***24 Hour Limited Time Flash Sale*** Basics of Data Science - CPD Certified Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter In a world where 2.5 quintillion bytes of data are produced every day, how can professionals leverage this data for strategic decision-making and competitive advantage? In the UK, the data science industry is booming, with an estimated increase in demand for data scientists and analytics professionals by over 28% by 2020. This Basics of Data Science bundle gives you diverse analytical skills to launch or advance your analytics career. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Basics of Data Science bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Basics of Data Science Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Bundle: Course 01: Diploma in Data Analysis Fundamentals Course 02: Business Intelligence and Data Mining Course 03: Google Data Studio: Data Analytics Course 04: Statistics Course 05: Statistical Analysis Course 06: Statistics & Probability for Data Science & Machine Learning Course 07: Microsoft Power BI - Master Power BI in 90 Minutes! Course 08: R Programming for Data Science Course 09: PowerBI Formulas Course 10:Time Management Training - Online Course Course 11: Excel Data Analysis Course 12: Stock Trading Analysis with Volume Trading Course 13: Fundamentals of Business Analysis Course 14: Minute-Taking Executive Training Course 15: Financial Modeling Using Excel Course 16: Complete Communication Skills Master Class for Life Course 17: Public Speaking Course 18: Data Science & Machine Learning with Python Course 19: Quick Data Science Approach from Scratch Course 20: Strategic Planning and Analysis for Marketing Course 21: Understanding Financial Statements and Analysis Course 22: Master JavaScript with Data Visualization Course 23: Receptionist Skills Course 24: Python Data Science Course 25: Research Methods in Business Course 26: Technical Analysis Masterclass for Trading & Investing Course 27: SAS Programming Basic to Advanced Course 28: Investment Analyst Course 29: Financial Analysis Course 30: Excel Data Tools and Data Management With Basics of Data Science, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Learning Outcomes of this Bundle Collect, clean, and transform complex datasets using Python and R Create insightful dashboards and visualizations in Power BI Apply statistical techniques to interpret trends and make predictions Build financial models to determine business value and opportunity Automate analytical tasks through SAS and JavaScript Communicate data-driven insights to stakeholders effectively Don't let this opportunity pass you by. Enrol in the Basics of Data Science today and take the first step towards achieving your goals and dreams. Why buy this Bundle? Free CPD Accredited Certificate upon completion of Basics of Data Science Get a free student ID card with Basics of Data Science Lifetime access to the Basics of Data Science course materials Get instant access to this Basics of Data Science course Learn the Basics of Data Science from anywhere in the world 24/7 tutor support with the Basics of Data Science course. Start your learning journey straightaway! Basics of Data Science premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Basics of Data Science is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Basics of Data Science course. After passing the Basics of Data Science exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Basics of Data Science course is ideal for: Students seeking mastery in the Basics of Data Science Professionals seeking to enhance the Basics of Data Science skills Individuals looking for a Basics of Data Science-related career. Anyone passionate about the Basics of Data Science Requirements This Basics of Data Science doesn't require prior experience and is suitable for diverse learners. Career path This Basics of Data Science bundle will allow you to kickstart or take your career in the related sector to the next stage. Data Analyst Business Analyst Data Scientist Marketing Analyst Financial Analyst Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.
Leading Cross-Cultural Virtual Teams: In-House Training High-performing teams are a must in this world of intense competition and higher expectations. Global virtual teaming has become a necessity as organizations become increasingly distributed and suppliers and clients actively engage in joint projects. Teams work across geographical and organizational boundaries to deliver solutions and services to global users where distance and differences, both geographic and cultural, amplify the effect of issues and factors that are relatively straightforward when managing a team of people in the same location. This course delivers practical concepts and techniques that participants will start using immediately on their global projects. What you will Learn At the end of this program, you will be able to: Define relationships among foundational concepts (leadership and three dimensions of diversity) and explain their potential impacts on project performance Describe key components of successful project leadership and build selected Transformational Leadership skills Prepare to convert project challenges stemming from personal or cultural diversity into potential competitive advantage Implement selected best practices to meet key challenges facing virtual project teams Foster and grow an environment that supports continued success for CCVTs Foundation Concepts Basic definitions Critical success factors for leading cross-cultural virtual teams (CCVTs) A roadmap to success for leading CCVTs Leadership Excellence in Any Project Environment Leading effectively in a global environment Transformational leadership The four components of Transformational Leadership Leveraging Personal Diversity Overview of personal diversity Mind styles The theory of multiple intelligences Connecting Transformational Leadership and personal diversity Embracing Cultural Diversity Introduction to cultural intelligence The impact of culture Cultural Dimensions Theory The Culture Map Managing Virtual Diversity Overview of virtual diversity Virtual time management Virtual processes and technology Virtual leadership Creating an Environment for Success Supporting a cross-cultural virtual-team (CCVT-) friendly environment Building a foundation of trust Developing a team charter Recap and review Summary and Next Steps Personal action plan
Duration 3 Days 18 CPD hours This course is intended for This course is designed for software developers, testers, and architects who design and develop software in various programming languages and platforms, including desktop, web, cloud, and mobile, and who want to improve their ability to deliver software that is of high quality, particularly regarding security and privacy. This course is also designed for students who are seeking the CertNexus Cyber Secure Coder (CSC) Exam CSC-210 certification Overview In this course, you will employ best practices in software development to develop secure software.You will: Identify the need for security in your software projects. Eliminate vulnerabilities within software. Use a Security by Design approach to design a secure architecture for your software. Implement common protections to protect users and data. Apply various testing methods to find and correct security defects in your software. Maintain deployed software to ensure ongoing security... The stakes for software security are very high, and yet many development teams deal with software security only after the code has been developed and the software is being prepared for delivery. As with any aspect of software quality, to ensure successful implementation, security and privacy issues should be managed throughout the entire software development lifecycle. This course presents an approach for dealing with security and privacy throughout the entire software development lifecycle. You will learn about vulnerabilities that undermine security, and how to identify and remediate them in your own projects. You will learn general strategies for dealing with security defects and misconfiguration, how to design software to deal with the human element in security, and how to incorporate security into all phases of development. Identifying the Need for Security in Your Software Projects Identify Security Requirements and Expectations Identify Factors That Undermine Software Security Find Vulnerabilities in Your Software Gather Intelligence on Vulnerabilities and Exploits Handling Vulnerabilities Handle Vulnerabilities Due to Software Defects and Misconfiguration Handle Vulnerabilities Due to Human Factors Handle Vulnerabilities Due to Process Shortcomings Designing for Security Apply General Principles for Secure Design Design Software to Counter Specific Threats Developing Secure Code Follow Best Practices for Secure Coding Prevent Platform Vulnerabilities Prevent Privacy Vulnerabilities Implementing Common Protections Limit Access Using Login and User Roles Protect Data in Transit and At Rest Implement Error Handling and Logging Protect Sensitive Data and Functions Protect Database Access Testing Software Security Perform Security Testing Analyze Code to find Security Problems Use Automated Testing Tools to Find Security Problems Maintaining Security in Deployed Software Monitor and Log Applications to Support Security Maintain Security after Deployment
Strategic Thinking and Decision Making: On-Demand The goal of this course is to provide you with the building blocks and the motivation to develop the critical skill of strategic thinking. The participants will consider a four-part model that distinguishes strategic thinking from strategic planning and managing. With that understanding, you will investigate the critical components of strategic thinking and how to apply it effectively. What You Will Learn At the end of this program, you will be able to: Define strategic thinking and distinguish it from strategic planning and management Explain a high-level approach to gaining strategic thinking skills Integrate other interpersonal skills, such as self-awareness, systems thinking, leadership, constructive conflict, and collaboration, into the fabric of strategic thinking skills Select appropriate techniques to apply strategic thinking in specific situations Recognize and emulate effective strategic thinking behaviors Foundation Concepts Strategic thinking versus strategic planning, decision making and management Strategic thinking attributes Strategic Thinking Critical Success Factors Strategic thinking competency and tools at an organization level Strategic Thinking Tools and Techniques at an Individual Level Interpersonal and Team Emotional Intelligence Team Leadership and Trust Constructive Conflict and Collaboration Applying the Critical Skill of Strategic Thinking Team versus client Trusted Advisor
Duration 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?
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Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.