57505 Courses

Coming soon! Tailored for seasoned professionals, our Level 7 Senior Leader course is for those seeking to enhance their leadership capabilities, this program is designed for individuals aspiring to or currently occupying senior leadership roles. Delve into advanced concepts of strategic leadership, organizational effectiveness, and change management. Explore the nuances of decision-making at the executive level, honing your skills in navigating complex business landscapes.

Overview of Telehandler Training Course Telehandler Training or Telehandler Courses is an essential program designed to equip operators with the necessary skills and knowledge to safely and efficiently operate telehandlers. These versatile machines, commonly used in agriculture, construction, and warehousing, require precise handling due to their complex controls and varied load capacities. Our Telehandler Courses will help you achieve your goal to be a successful Telehandler Operator. The importance of comprehensive telehandler training cannot be overstated. It ensures that operators are well-versed in both the theoretical and practical aspects of handling these machines, significantly reducing the risk of accidents and injuries on the job. Moreover, proper Telehandler training aids in maximising the operational efficiency of telehandlers, which can contribute to the timely completion of projects and the effective management of resources. In various industries, telehandlers play a critical role in lifting and transporting heavy materials over obstacles and uneven terrain, making the Telehandler course crucial for anyone involved in operations that require heavy lifting and material handling. The Telehandler courses covers a range of topics, including safety regulations, operational techniques, maintenance basics, and troubleshooting common issues, ensuring that all participants are prepared to handle the demands of operating a telehandler in any setting. Booking the Telehandler Training couldn’t be easier. Book Now

Join this course for full access to our Small Animal Sonography Webinar archive.  Speaker: Mark Overend qualified from Glasgow University in 1990 and since then has held several positions and Directorships within practice and the veterinary industry. He was awarded the ESVPS GP Cert in cardiology in 2010, and a the PgC (Small Animal Cardiology Studies) (Distinction) from Harper Adams University in 2017. Mark has been running a cardiology and ultrasound referral service for the last 12 years (now a travelling service) but also lectures to and trains vets all over the UK in the fields of Ultrasound and Cardiology.

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

AAT Level 2 Foundation Certificate in Accounting AAT Level 2 is the first level of qualification for people with limited or no accounts knowledge. This Foundation Certificate in accounting training equips you for an entry-level role in an Accounting or Finance department. Moreover, this AAT course also lays the groundwork for a promising future in the accounting profession. By the end of the course, you will have a greater understanding and skills of manual and computerised accounts and how to use them in a 'real business world' setting. You'll be awarded AAT Level 2 Foundation Certificate in Accounting from the Association of Accounting Technicians (AAT), once you pass all the exams and skill tests. The AAT Foundation Certificate in Accounting covers the following areas: Bookkeeping Transactions Bookkeeping Controls Elements of Cost Work Effectively in Finance Using Accounting Software (i.e SAGE)

Coming soon! Embark on a pioneering journey into the realm of strategic learning and development with our Level 5 Learning & Development Consultant (Business Partner) course. Tailored for individuals poised to step into the pivotal role of a Learning & Development Consultant, whether through recent recruitment or a well-deserved promotion, this program serves as a catalyst for acquiring advanced skills and unique insights crucial for excelling in the dynamic field of L&D.

Calling all aspiring screenwriters and creative minds! Join us for an exciting script pitching workshop led by tutor Gemma Mushington. This taster session is designed to unleash your imagination and guide you through the process of coming up with and pitching an original script idea. Gemma Mushington, a talented screenwriter with a BA in Film, Television, and Digital Production, brings her wealth of industry knowledge and experience to this workshop. She is signed with Casarotto Ramsay and was the proud winner of the Neal Street Productions Screenwriting Bursary in 2021. Gemma's impressive credentials also include writing an episode of CBBC's The Dumping Ground, which aired in May 2023. With her current role as our Module Leader for the Major Feature Film module on the BA Screenwriting course, Gemma is the perfect guide to help you develop your script ideas. During this engaging taster session, Gemma will lead you through an exercise focused on generating and refining your own original script idea. Learn the techniques and strategies used by professional screenwriters to create compelling narratives that captivate audiences. Gain valuable insights into the art of pitching as Gemma shares her expertise on how to effectively communicate your ideas and grab the attention of industry professionals. Whether you are a screenwriting student, a budding storyteller, or simply someone with a passion for creative writing, this workshop is a fantastic opportunity to explore the exciting world of script development. No prior experience is necessary, as Gemma will provide guidance and support throughout the session. Don't miss out on this chance to refine your scriptwriting skills and pitch your ideas with confidence. Reserve your spot now and prepare to unleash your creative potential with the guidance of tutor Gemma Mushington!

The Dance of Earth and Venus results in one of the most beautiful and breathtaking rhythms and patterns of the solar system. Every eight Earth years (13 Venus years) they dance a pentagonal form in space akin to the pip-star inside your apple or the petals of a primrose flower! During this course we will learn how to draw this incredible pattern using the traditional tools of compass and straight-edge; we will explore the key aspects of Earth and Venus' cycles that determine such extraordinary heavenly harmony. And time allowing ... with copper leaf and watercolour paint made from malachite and azurite - which in the Hermetic/Alchemical tradition have forever been associated with the planet Venus - we will create stunning mandalas embodying the Earth/Venus dance ... (More info at sacredartofgeometry.com)

AAT Revision Courses - Overview AAT Revision Courses are greatly beneficial for people who want to prepare for AAT synoptic assessments. For each AAT Qualification, there is a synoptic assessment which students need to pass to gain the qualification for any particular level. (Level 2/Level 3/Level 4). Getting extra support just before the synoptic assessment can help you understand various exam strategies to achieve greater marks/grade and avoid wasted time and the cost of resitting. Osborne Training is an AAT Approved Training Provider and we are proud to maintain the highest standard of teaching. From a recent survey, it was found that people who studied the revision course at Osborne Training are 70% more likely to pass the Synoptic Assessment on the first sitting. Benefits For each revision course for any level, you get the following benefits. 1 Synoptic Workbook Lectures led by Expert & Qualified Teacher Helping you to get ready for the exam Achieve better grade/marks Exam Booking Service Supports you with your preparation for the Synoptic Exam Structure your revision by module Tutor feedback and workings provided Full walkthrough a practice assessment by a tutor Professional or Industry specific qualification

Duration 3 Days 18 CPD hours