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Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python-experienced attendees who wish to be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand how data analysts and scientists gather and analyze data Perform data analysis and data wrangling using Python Combine, group, and aggregate data from multiple sources Create data visualizations with pandas, matplotlib, and seaborn Apply machine learning (ML) algorithms to identify patterns and make predictions Use Python data science libraries to analyze real-world datasets Use pandas to solve common data representation and analysis problems Build Python scripts, modules, and packages for reusable analysis code Perform efficient data analysis and manipulation tasks using pandas Apply pandas to different real-world domains with the help of step-by-step demonstrations Get accustomed to using pandas as an effective data exploration tool. Data analysis has become a necessary skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Geared for data team members with incoming Python scripting experience, Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will be able to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding lessons, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. Students will leave the course armed with the skills required to use pandas to ensure the veracity of their data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Introduction to Data Analysis Fundamentals of data analysis Statistical foundations Setting up a virtual environment Working with Pandas DataFrames Pandas data structures Bringing data into a pandas DataFrame Inspecting a DataFrame object Grabbing subsets of the data Adding and removing data Data Wrangling with Pandas What is data wrangling? Collecting temperature data Cleaning up the data Restructuring the data Handling duplicate, missing, or invalid data Aggregating Pandas DataFrames Database-style operations on DataFrames DataFrame operations Aggregations with pandas and numpy Time series Visualizing Data with Pandas and Matplotlib An introduction to matplotlib Plotting with pandas The pandas.plotting subpackage Plotting with Seaborn and Customization Techniques Utilizing seaborn for advanced plotting Formatting Customizing visualizations Financial Analysis - Bitcoin and the Stock Market Building a Python package Data extraction with pandas Exploratory data analysis Technical analysis of financial instruments Modeling performance Rule-Based Anomaly Detection Simulating login attempts Exploratory data analysis Rule-based anomaly detection Getting Started with Machine Learning in Python Learning the lingo Exploratory data analysis Preprocessing data Clustering Regression Classification Making Better Predictions - Optimizing Models Hyperparameter tuning with grid search Feature engineering Ensemble methods Inspecting classification prediction confidence Addressing class imbalance Regularization Machine Learning Anomaly Detection Exploring the data Unsupervised methods Supervised methods Online learning The Road Ahead Data resources Practicing working with data Python practice

Guided Teaching Practice (20 Hours – 8 Sessions – 4 Days)

Improve your embroidery skills with Mr Rudolph

Harry Potter book course one to one

Harry Potter book course one to one

Our Introduction to Immigration Law course is a full-day course designed for those who are interested in a career in immigration law. About the course Our introduction to UK Immigration Law course is aimed at those looking to venture into the increasingly popular and relevant world of immigration law. This exciting course will give you an overview of the various UK visa routes as well as looking into a “day in the life” of an immigration caseworker, with the opportunity to work through a real visa application form. During this course we’ll also guide you on the path to accreditation, providing valuable insights into the requirements and steps to become a recognised immigration professional. Course joining links, materials and instructions are sent out 24hours before the course starts.   Course information Course: Introduction to Immigration Law Duration: 1 day Delivery Method: Online Trainer: Expert Immigration Trainer CPD: 6 Points Career Path: Immigration Advisor Entry Requirements: None Why Study with Immigration Advice Service. Immigration Advice Service has been providing professional immigration services for over 10 years in the public, private and corporate sectors. Our Introduction to Immigration Law course will give you an insight into UK Law, covering key fundamentals as well as how to become an accredited advisor. Our qualified and OISC regulated trainer will guide you through the process and ensure you are competent with elements covered within the course.   Content covered in the course: General knowledge of immigration law A look at common visa routes:Entry clearanceFamily visasVisit visasPBS How to take instructions from a client Drafting letters for clients How to work through a visa application form How to become accredited

Why choose SketchUp Training Course for Interior Designers and Architects? Course info During this training course, you will begin with an introduction to SketchUp, exploring its interface, fundamental concepts, including design tools, component, color and texture, and importing from 3D Warehouse related to interior design. Duration: 6 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. Advantages of SketchUp: Intuitive and Fast: Compared to other 3D modeling software, SketchUp is simple, fast, and easy to use. Quick Learning Curve: Within a few hours, users can create simple models and get started with SketchUp. Efficient Modeling: SketchUp allows for the creation of models with fewer faces, optimizing performance. Versatility: Its non-parametric modeling principle makes SketchUp suitable for various applications. Rich Component Library: Access a vast collection of free components in the 3D Warehouse. Extensive Plugins: Benefit from numerous free plugins. Interior Designers' SketchUp Training Course Course Duration: 6 hours I. Introduction to SketchUp (1 hour) Overview of SketchUp for interior design Familiarization with the interface and essential tools Navigating the 3D environment efficiently Project creation and management II. Creating Floor Plans (1 hour) Importing and drawing floor plans accurately Wall, window, and door precision Effective floor level management Organizing designs with Layers and Scenes III. Furniture and Fixtures (2 hours) Accessing 3D Warehouse for furniture and fixtures Crafting custom elements for unique designs Strategic arrangement within the space Materials and textures customization IV. Advanced Modeling (1 hour) Utilizing advanced tools for intricate 3D models Organizing models with groups and components Adding details and finishes for high-quality design V. 3D Visualization (1 hour) Creating immersive 3D models Applying textures to walls, floors, ceilings Mastering rendering for realistic presentations VI. Importing and Exporting (30 minutes) Seamless collaboration with other software File formats and compatibility understanding Preparing models for 3D printing VII. Conclusion and Next Steps (30 minutes) Comprehensive review and key takeaways Further learning resources and improvement avenues Interactive Q&A and feedback collection SketchUp - SketchUp trial https://www.sketchup.com Unlock Your Design's Full Potential With SketchUp's Powerful 3D Software. VR Model Viewing. Free Trial Available. Secure Payment Options. Types: SketchUp Go, SketchUp Pro.

Harry Potter book course one to one

This workshop will help you improve the impact, clarity, accuracy and effectiveness of your sales proposals. It takes bid and proposal teams right through the process, from start to finish - from forming the team and gathering the information, through to writing and reviewing the proposal document, and on to presenting it to the client. The learning points shared in the programme come from the trainer's extensive real-world experience with a wide variety of businesses. As a result of attending this programme, participants will be able to: Write more clearly, more grammatically and more persuasively Structure their written communications more effectively Avoid the 'howlers' that can cost you business Impress your clients Win more business 1 Bid strategy How to combine your knowledge of the market or customer, your products and services, and your competitors, to create a quality bid New insights into your comparative advantages and competitive position in the marketplace Understanding more about how your client views you and other suppliers A plan of attack to build on your strengths and attack the weaknesses of your competition Dealing with RFP/ITT situations 2 Teamwork How a bid or proposal team needs to prioritise and manage preparation time Co-ordinating input from team members Agreeing responsibilities 3 The importance and role of a well-written sales proposal Why bother? - the value of the sales proposal to you and to the customer What the customer wants and needs to make a decision in your favour Understanding and delivering on customer expectations Review and discussion of different proposals - with real-life examples 4 The best way to structure your sales proposals A section-by-section, page-by-page review of best practice in structuring great sales proposals How to improve the way you match your proposal to the customer's objectives and requirements Plan your sales documents systematically - to make them easy to read and more persuasive How to make your proposal look like the 'least risky' option 5 Making your proposal a compelling and persuasive proposition Choosing the right words that sell effectively Selecting the right content and information for your document or proposal Using an option matrix to summarise complex choices and increase final order value How to write an executive summary 6 Well-written and error-free Developing your writing style for maximum impact Expressing the content (ie, selling points) clearly, concisely and correctly Proof-reading and editing work effectively, using formal marks and techniques Improving visual layout, format and appearance Keeping it customer-focused 7 Presenting to the client - overview Presentation options Understanding the client's objectives - as well as your own The proposal review meeting - logistics Managing to the next step Designing and delivering a compelling presentation Isolating objections and concerns Follow-up and follow-through 8 Positioning your final proposal Finalising your bid - presenting the right 'best few' USPs, features and benefits and making them relevant and real to the customer Smart ways to position price and be a strong player - without being the cheapest How to differentiate yourselves by how you present, as well as what you present How to design and deliver a successful bid presentation 9 Bid presentation practice session with structured feedback Participants work in small groups or pairs to prepare and later present a sample section from a real life bid or proposal presentation The trainer will provide assistance and input During group review and discussions, input from others will be encouraged and many best practice ideas summarised 10 Managing the end game How best to draw-out, understand, isolate and answer customer objections, negotiate points and concerns How to read the situation to plan the next step Identifying negotiation tactics - and how to deal with them Planning for a negotiation and how to get the customer feel they have the 'best deal' 11 Workshop summary and close