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Discover the Best Private Computers & electronics Classes in Derby

For over a decade, our private Computers & electronics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Derby, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 computers & electronics teacher in Derby

Trusted teacher: Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the data industry and in increasing demand. In this two-hour introduction to SQL, you'll get to know the theory and the practice through bite-sized videos and interactive exercises where you can put your new-found skills to the test. SQL is an essential language for building and maintaining relational databases, which opens the door to a range of careers in the data industry and beyond. You’ll start this course by covering data organization, tables, and best practices for database construction. The second half of this course looks at creating SQL queries for selecting data that you need from your database. You’ll have the chance to practice your querying skills before moving on to customizing and saving your results. PostgreSQL and SQL Server are two of the most popular SQL flavors. You’ll finish off this course by looking at the differences, benefits, and applications of each. By the end of the course you’ll have some hands-on experience in learning SQL and the grounding to start applying it on projects or continue your learning in a more specialized direction. Relational Databases Before writing any SQL queries, it’s important to understand the underlying data. In this chapter, we’ll discover the role of SQL in creating and querying relational databases. Using a database for a local library, we will explore database and table organization, data types and storage, and best practices for database construction. Querying Learn your first SQL keywords for selecting relevant data from database tables! After practicing querying skills in a database of books, you’ll customize query results using aliasing and save them as views so they can be shared. Finally, you’ll explore the differences between SQL flavors and databases such as PostgreSQL and SQL Server.
Computer programming · Microsoft sql server
Trusted teacher: SERVICES I can offer my assistance with Data Analysis, Data Science, Quantitative Methods, Analysis, Statistical Modelling, Forecast, Regression, Coding, Python, Matlab, Excel statistical software and packages such as Stata, R and Database languages such as SQL, Oracle, MySql and other Business-related subjects (with coding and programming if you are interested in it). I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex statistical and modelling concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand statistics, econometrics, linear regression, forecast modelling, statistical modelling, quantitative methods, as well as introducing you to the fast-growing field of Data Analysis and Data Science. I can teach how to use Python, Matlab, Stata, R, Sas, R, Excel, SQL, Oracle, MySql and many more. - Statistics - Machine Learning - Deep Learning - Probability - Linear Regression - Statistical Modelling - Analysis - Data Analysis/Science - Modelling - Forecasting model - Time Series Analysis - Quantitative Methods - Python - Matlab - Stata - R - Sas - Excel EXPERIENCE AND EDUCATION - PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction - Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally - Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting - Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations - Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance - Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel. - I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment. - I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths. - I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner. GREETINGS My goal is also to inspire further study that will lead to an interesting and successful career. If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation. Thank you for looking at my profile and hope to hear from you soon, Andrea
Computer science
Trusted teacher: <Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
Software engineering · Computer programming
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(4 reviews)
Jean - Antwerp, Belgium£120
Trusted teacher: Do you want to improve your productivity in class or at work? Are you tired of using Excel for things it's not meant for? Do you want to analyze and visualize your data? Do you want to generate valuable insights? Do you want to talk to sensors and devices? Then you've come to the right place. You don't need to want to become a developer in order to learn Python. Most people who program in Python actually work in another field, but use Python as a superpower to help them do their job more efficiently and effectively, or even do do things that were previously impossible. I will be teaching you one-on-one. We'll see what you want to do, and I help you work towards that goal. I will be using best practices as appropriate to your level. We might work with Jupyter notebooks if you have nothing more specific that you prefer to do. But I can also work with you on analyzing your data, controlling your devices and robots, or even building tools that you feel that you need. Depending on your application, we might even do some machine learning. Some case studies involving students of mine: In one case, I started by automating one report of a financial analyst who had never programmed before, allowing him to start learning Python on during working hours. I also automated one of his side jobs, giving him more disposable income. He has since automated many more of his tasks, and has been providing completely new insights to his company, This has earned him a promotion and a sponsored masters degree. I still provide support as necessary. In another, I enabled a PhD student to analyze their electron-phase micrographs by writing software with them which did the job of commercial software with an expensive license. I was acknowledged by name in their paper. Note: Python 3 only, unless you are required to use Python 2.
Python · Science · Engineering
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 49 reviews.

Learn Python at all levels! One-on-one tutoring with an expert. (Saint-Gilles)
Jean
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First of all, Jean was amazing! He responded very quickly and answered every question I had! He is extremely knowledgeable and his help was just what I needed! He is very friendly and he adjusts the pace to his students. I am very glad I contacted him and I strongly recommend him for anyone who wants to learn programming languages or has trouble doing so! I will definitely study with him again!
Review by SEBASTIAN
Financial Trading and Investing in the stock market (Amsterdam)
Simone
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Simone is fantastic, he has great knowledge, customises his delivery to suit your requirements, is extremely flexible and accommodating, and goes above and beyond in ensuring he is always providing and exceptional service. I highly recommend him to anyone interested in expanding their knowledge in these topics.
Review by FARLAN
Maths, Data Science and AI, Computer Programming, Physics classes – Online or In-Person. Mathematical and Engineering background. (Serres)
Pavlos
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Pavlos is a great teacher. He taught me discrete math and comes with his own suggested material, although tailored to your needs. He goes over the material, making sure you understand it before he continues. He also provides extra exercises if you need them.
Review by GÉRARD
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