1243 Statistics courses

Electrical Safety Approved Online Training

In today's digital age, mastering the role of a Data Entry Administrator through an online training course is indispensable. The Data Entry Administrator Online Training Course equips individuals with the essential skills to navigate the intricacies of data entry efficiently. In a world reliant on data for decision-making, accuracy and speed are paramount, making proficiency in data entry indispensable across various industries. By grasping the fundamentals laid out in modules like Introduction to Data Entry and Utilizing Excel for Efficient Data Entry, individuals gain a comprehensive understanding of data management. This expertise significantly enhances employability prospects in the UK job market, where demand for Data Entry Administrators remains robust. According to recent surveys, the median salary for Data Entry Administrator positions in the UK stands at £20,000 per annum, highlighting the lucrative nature of this profession. Additionally, the advantages of this course extend beyond immediate job opportunities, with the sector witnessing a steady increase in demand, with a growth rate of approximately 5% annually. Mastering data entry through this course opens doors to a plethora of job opportunities while ensuring a competitive edge in today's dynamic job market. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Course Curriculum: Module 01: Introduction to Data Entry Module 02: Using the Computer for Data Entry Module 03: Common Rules and Guidelines for Data Entry Module 04: Using Excel for Efficient Data Entry Module 05: Using Excel's Flash Fill and Autofill to Automate Data Entry Module 06: How to Create a Data Entry Form in Excel? Module 07: Using Statistics Packages in Data Entry Learning Outcomes: Understand principles of efficient data entry and its importance. Utilise Excel's Flash Fill and Autofill for automated data entry. Create effective data entry forms using Excel's functionalities. Implement common rules and guidelines for accurate data entry. Apply statistics packages effectively for advanced data entry tasks. Enhance data entry efficiency using computer and Excel tools. CPD 10 CPD hours / points Accredited by CPD Quality Standards Data Entry Administrator Online Training 55:57 1: Module 01: Introduction to Data Entry Preview 05:06 2: Module 02: Using the Computer for Data Entry 02:56 3: Module 03: Common Rules and Guidelines for Data Entry 11:12 4: Module 04: Using Excel for Efficient Data Entry 04:43 5: Module 05: Using Excel's Flash Fill and Autofill to Automate Data Entry 05:51 6: Module 06: How to Create a Data Entry Form in Excel? 12:38 7: Module 07: Using Statistics Packages in Data Entry 11:31 8: CPD Certificate - Free 01:00 9: Leave A Review 01:00 Who is this course for? This Data Entry Administrator Online Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Data Entry Administrator Online Training. Moreover, this course is ideal for: Individuals seeking foundational data entry skills. Office assistants aiming to improve data handling proficiency. Students pursuing careers in administrative roles. Professionals transitioning to data entry positions. Anyone interested in mastering Excel for data management. Requirements There are no requirements needed to enrol into this Data Entry Administrator Online Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Data Entry Administrator Online Training course. Career path After finishing this Data Entry Administrator Online Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Data Entry Administrator Online Training are: Data Entry Clerk - £18K to 25K/year. Administrative Assistant - £18K to 30K/year. Data Analyst - £24K to 35K/year. Office Manager - £22K to 40K/year. Research Assistant - £20K to 30K/year. Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

There is a common misconception that sharps injuries are only of concern to medical and care staff. However it is not uncommon for people in other industries such as waste disposal to come into contact with used sharps. In this course we'll start by looking at some statistics relating to discarded needles, then define 'sharps' and look at the different types that can be found in 'sharps litter', ranging from needles, syringes and scalpel blades to broken glass, knives, scissors and nails. It then covers the primary and secondary risks from sharps. It'll look at the responsibilities of employers and how they must use risk assessment to ensure workers safety, as much as possible. Then, the course will take a detailed look at Hepatitis B, Hepatitis C, HIV and Tetanus There'll be a section on the Chain of Infection, helping you to understand how an infection gets passed on, and what steps can be taken to break the chain and stop the process. It'll look at the probability of picking up an infection from a needlestick injury, and the factors that can affect this. It's important to always handle discarded sharps safely so the course will take you through the equipment you need, including litter pickers, forceps, disinfectant sprays and gloves, along with the correct techniques you should employ to avoid injury. This subject will be further expanded on by detailing the correct sharps handling procedures, including how to dispose of discarded sharps safely, how to remove disposable gloves to minimise cross-contamination, and correct hand washing procedures. Finally, it'll cover how to report discarded sharps and the correct procedures to follow if you're unlucky enough to receive a sharps injury.

Unlock your potential as a Business Intelligence Analyst! Master data analysis, reporting, and visualisation skills to drive informed business decisions.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Python Data Analytics with Python using Numpy, Pandas, Dataframes. Most attendees are in-work Data Professional. Private individuals are very welcome. Our Style: Hands-on, Practical Location: Online, Instructor-led

About this Virtual Instructor Led Training (VILT)  A decision to drill an exploration well with the objective to find a new oil or gas field must be based on sound assessment of the prospect risk and of the volumes. What is the chance that a well will find hydrocarbons, and how much could it be? Risk and volume assessments form the basis for decisions to drill a well or not, and as such form the link between subsurface evaluation and the business aspects of the petroleum industry. This Virtual Instructor Led Training (VILT) course explains how risks and volumes can be assessed in a realistic manner, based on a sound understanding of the geological details of the prospect as well as its regional geological setting and current play understanding. Participants of this VILT course will receive a softcopy of Risk and Volume Assessment Handbook which explains the concepts that are associated with probabilistic Risk & Volume (R & V) Assessment and contains many practical recommendations on how to translate geological understanding into meaningful inputs for probabilistic R &V assessments. The book is fully compatible with any probabilistic R & V tool in the industry. Training Objectives By the end of this VILT course, participants will be able to understand: The fundamentals of risk and volumes assessment; translating geological understanding into reasonable numbers and ranges. The difference between risk and uncertainty. Fundamentals of statistics; including explanation of distribution curves, understanding of expectation curves, do's and don'ts for adding risked volumes, and Bayes theorem. Uncertainty of trap, reservoir, seal and charge, illustrated by examples. Guidelines and exercises for estimating risks realistically and consistently. Calculating volume ranges for prospects and for portfolios of prospects; how to add prospect volumes for a correct representation of prospect portfolios. Incorporation of geophysical evidence (DHIs) in a realistic risk assessment. Target Audience This VILT course has been designed in the first place for geoscientists working in exploration, for prospect portfolio analysts and for their direct supervisors. It will also benefit staff from disciplines working closely with exploration staff, such as reservoir engineers, petrophysicists and geophysicists. Course Level Intermediate Training Methods Learning, methods and tools The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. It is the intention to have at least 2 smaller exercises per day. Time will be reserved for recapitulation, questions and discussions. VILT will be conducted either via Zoom or Microsoft Teams. Presenting materials can easily be done on this platform. When participants need to ask a question, they can raise their hand, write notes or interrupt the Instructor by using their microphone. The presenter can switch to a screen where he/she can see all participants (also when each participant is sitting in another location e.g. at home). There is also a whiteboard functionality that can be used as one would use a flip chart. Exercises will be done on an online platform which provides each participant with a private work area that can be accessed by the Instructor to discuss the exercise in a similar manner as in a classroom course. Each topic is introduced by a lecture, and learning is re-enforced by practical exercises and discussions. Handout material in electronic format will be provided. Trainer Dr. Jan de Jager has a PhD in Geology from the University of Utrecht. He joined Shell in 1979 as an exploration geologist, and worked in several locations around the world such as Netherlands, Gabon, USA, Australia, Argentina, and Malaysia in technical and management positions. During the last 10 years of his career, he was responsible for the quality assurance of Shell's exploration prospects in many parts of the world and for upgrading and replenishing Shell's global exploration portfolio. During this period, he had also developed extensive expertise in Prospect Risk and Volume assessments for which he ran successful internal training programmes. Following his retirement from Shell in 2010, Dr Jan de Jager took on a position as part-time professor at the University of Amsterdam and also serves as a consultant exploration advisor for various E&P companies. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

In simple terms, Forex trading is a trading option for currency, where you buy one currency for a given price and sell it for more money when the exchange rate is in your favour. If you want to learn more about how the process works then consider getting this course. By getting an introductory understanding of both basics of stock market & forex trading, you will learn about stock market trends, understand currency conversion, statistics, forex volatility and market expectation. You will also discover more about aspects of trade, risk management, and trading options. Next part focuses on a variety of topics including forex pairs, market size, liquidity, spot marketing, futures trading and more. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Stock Market Basics Introduction To Stocks Basics 00:30:00 About Share Basics 00:30:00 The Difference Between Stocks And Shares 00:30:00 Concept Of Fundamentals Of The Stock Market 00:30:00 How Exactly Do Stock Prices Get Determined? 00:30:00 Benefits Of Using Stocks And Shares 01:00:00 When To Get Out Of The Stock Market 00:30:00 Wrapping Up 00:15:00 Stock Market Statistics Understanding the stock market 01:00:00 Identifying trends 01:00:00 What is Forex? 01:00:00 Basics of currency conversion 01:00:00 Understanding Statistics 01:00:00 Forex Volatility And Market Expectation 01:00:00 Aspects Of The Trade 01:00:00 Risk Management 01:00:00 'Buzz' Words 01:00:00 Expert Trading Options 01:00:00 Other Trading Options 01:00:00 In Review 01:00:00 One Final Option 00:30:00 Forex Trading Simplified What Is Forex? 00:30:00 About The New York Stock Exchange 00:30:00 What Is Trading? 00:30:00 What Are Forex Pairs? 00:30:00 About The Market Size And Liquidity 00:30:00 What is A Spot Market? 01:00:00 What Is Futures Trading? 00:30:00 What are Options Trading? 00:30:00 What Are Exchange-traded Funds? 00:30:00 The Dangers Of Trading If You Don't Know How to Cope with It 00:30:00 Practical Forex Trading How a Forex system operates in real time? 00:30:00 The secret to success in forex trading 00:15:00 What is a Spot Market? 00:15:00 How Do You Make Money Trading Forex? 00:30:00 Know Your P's and L's 00:30:00 Opening a Trading Account 00:15:00 Types of Trading 00:15:00 Mock Exam Mock Exam- Stock Market and Forex Trading Diploma 00:20:00 Final Exam Final Exam - Stock Market and Forex Trading Diploma 00:20:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Business Networking 1 Day Training in Bath

Embark on a transformative journey into data analytics with our comprehensive course. Discover the power of data & analytics through engaging modules designed to equip you with skills and knowledge. Whether you're a novice or a seasoned professional, this data analytics course is your gateway to unlocking the potential of big data analytics. From understanding the basics like what is data analytics and harnessing the power of statistics to mastering data visualisation tools, each step is crafted to empower you with the tools necessary to navigate the world of data analytics confidently. With the Google Data Analytics Professional Certificate, you'll gain invaluable insights and practical experience that can catapult you into lucrative data analytics jobs. From enhancing your employability to boosting your earning potential, this course opens doors to a myriad of opportunities in this field. Learning Outcomes: Acquire a solid foundation in data analytics principles and techniques. Develop proficiency in using various data analytics tools and software. Gain skills in data mining, storage, and visualisation. Cultivate a data-analytic mindset to tackle complex problems effectively. Explore career pathways in data science with confidence and clarity. Why buy this Data Analytics Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Data Analytics there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Analytics course for? Aspiring data analysts seeking to kickstart their careers. Professionals looking to enhance their skillset in this field. Students interested in exploring the fascinating world of data science. Entrepreneurs aiming to leverage analytics for business growth. Individuals seeking to transition into lucrative data analytics jobs. Prerequisites This Data Analytics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Analytics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Analyst: £25,000 - £50,000 Per Annum Data Scientist: £30,000 - £70,000 Per Annum Business Intelligence Analyst: £28,000 - £55,000 Per Annum Data Engineer: £35,000 - £65,000 Per Annum Database Administrator: £25,000 - £55,000 Per Annum Analytics Manager: £40,000 - £80,000 Per Annum Course Curriculum Module 01: Introduction to the World of Data Introduction to the World of Data 01:00:00 Module 02: Basics of Data Analytics Basics of Data Analytics 00:40:00 Module 03: Statistics for Data Analytics Statistics for Data Analytics 01:00:00 Module 04: Actions Taken in the Data Analysis Process Actions Taken in the Data Analysis Process 00:55:00 Module 05: Gathering the Right Information Gathering the Right Information 01:00:00 Module 06: Storing Data Storing Data 01:15:00 Module 07: Data Mining Data Mining 01:00:00 Module 08: Excel for Data Analytics Excel for Data Analytics 01:20:00 Module 09: Tools for Data Analytics Tools for Data Analytics 01:20:00 Module 10: Data-Analytic Thinking Data-Analytic Thinking 01:10:00 Module 11: Data Visualisation That Clearly Describes Insights Data Visualisation That Clearly Describes Insights 00:45:00 Module 12: Data Visualisation Tools Data Visualisation Tools 01:00:00 Assignment Assignment - Data Analytics 00:00:00