facebook

Discover the Best Private Database Classes in Belgien

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

24 database teachers in Belgien

0 teachers in my wish list
|
+

24 database teachers in Belgien

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
Database · Python · Computer programming
Trusted teacher: Welcome to the basics of Data Science with Python applied to real cases! In this course, we will cover the fundamental concepts and techniques of data science using the Python programming language. The course will begin with an overview of the key concepts in data science, including data types, data structures, and statistical analysis. We will then move on to cover the basics of Python programming, including variables, data types, loops, functions, and classes. Once we have covered the fundamentals of Python programming, we will dive into the world of data analysis and manipulation with the Pandas library. You will learn how to import, clean, and transform data using Pandas and how to perform basic statistical analysis on data. Next, we will explore data visualization with Matplotlib and Seaborn libraries. You will learn how to create different types of plots and charts to visualize data and gain insights from it. In the second half of the course, we will apply what we have learned to real-world data science problems. You will work on projects that involve cleaning and analyzing real datasets, such as census data, financial data, or climate data. Throughout the course, you will have access to a variety of resources, including lectures, readings, exercises, and quizzes. You will also have the opportunity to collaborate with other students and receive feedback from your instructors. By the end of this course, you will have a solid understanding of the basics of data science with Python and how to apply it to real-world problems. You will be able to use Python to perform data analysis, create visualizations, and draw insights from data.
Python · Database · Computer science
Database · Computer science
Computer science · Database · Microsoft sql server
Trusted teacher: 🔰 SPSS is one of the leading statistical tools used by researchers, data scientists, and students worldwide. 🔰 Whether you are exploring trends in biological research, conducting surveys, or analyzing experimental data, SPSS empowers you to transform raw data into actionable insights. 🔰 In this comprehensive course, you will learn the fundamentals of SPSS in a simple, step-by-step manner, tailored for individuals from any background. 🔰 By the end, you will be equipped with the essential skills to analyze, interpret, and present data confidently, making this course an invaluable tool for your research or professional journey. COURSE OUTLINE ✳️ Module 1: Introduction to SPSS ◘ Lesson 1.1: What is SPSS and Why Should Biologists Use It? • Overview of SPSS • Key features and benefits for biological research ◘ Lesson 1.2: Installing and Navigating SPSS • Installation guide • Understanding the SPSS interface • Data entry basics: How to input data manually ◘ Lesson 1.3: Data Types and Variables • Understanding variable types (Nominal, Ordinal, Scale) • Setting up variables in SPSS ✳️ Module 2: Data Management and Organization ◘ Lesson 2.1: Importing and Exporting Data • Importing Excel, CSV, and other formats into SPSS • Exporting data and results from SPSS ◘ Lesson 2.2: Data Cleaning and Preparation • Handling missing values • Sorting and filtering data • Recode and compute variables ◘ Lesson 2.3: Data Transformation for Biological Analysis • Creating new variables based on existing data • Using conditional statements ✳️ Module 3: Descriptive Statistics ◘ Lesson 3.1: Basic Descriptive Statistics • Mean, Median, Mode, Range, and Standard Deviation • Using SPSS to calculate and interpret descriptive statistics ◘ Lesson 3.2: Visualizing Data • Creating histograms, bar charts, and pie charts • Using boxplots and scatterplots for biological data ✳️ Module 4: Hypothesis Testing in SPSS ◘ Lesson 4.1: Introduction to Hypothesis Testing • Understanding p-values, significance, and confidence intervals ◘ Lesson 4.2: T-Tests and ANOVA • Independent and Paired Sample T-Tests • One-way and Two-way ANOVA ◘ Lesson 4.3: Non-Parametric Tests • Mann-Whitney U Test, Kruskal-Wallis Test • When to use non-parametric tests in biology ✳️ Module 5: Correlation and Regression Analysis ◘ Lesson 5.1: Correlation Analysis • Pearson’s and Spearman’s correlation • Interpreting correlation coefficients in biological research ◘ Lesson 5.2: Linear Regression • Simple linear regression • Multiple linear regression: When and how to use it • Assumptions of linear regression ◘ Lesson 5.3: Logistic Regression • Understanding binary outcomes • Conducting and interpreting logistic regression ✳️ Module 6: Advanced Statistical Techniques ◘ Lesson 6.1: Factor Analysis • Overview and applications in biology • Conducting factor analysis in SPSS ◘ Lesson 6.2: Cluster Analysis • Hierarchical and K-means clustering • Applications in biological data sets ◘ Lesson 6.3: Multivariate Analysis of Variance (MANOVA) • When to use MANOVA in biological research • Conducting and interpreting MANOVA ✳️ Module 7: Reporting and Interpreting Results ◘ Lesson 7.1: Generating and Interpreting Output • Understanding SPSS output tables and charts • Reporting statistical findings in biological research ◘ Lesson 7.2: Writing a Statistical Report • Structuring a scientific report with statistical results • Communicating complex data simply and effectively ✳️ Module 8: SPSS for Biological Research Projects ◘ Lesson 8.1: Designing a Research Project Using SPSS • Setting research objectives and data collection strategies • Using SPSS for hypothesis testing and analysis ◘ Lesson 8.2: Case Studies in Biology • Real-world biological examples using SPSS (e.g., population genetics, ecology, microbiology) • Hands-on project using SPSS to analyze biological data ✳️ Final Project ◘ Lesson 9.1: Capstone Project • Students will analyze a biological dataset using the techniques learned in the course • Submission of a final report including data analysis, results, and conclusions
Database · Biology · Numerical analysis
star icon
active star icon
(1 review)
Amy - United Kingdom50€
Trusted teacher: Discover the Magic of Airtable: A Beginner's Guide to Database Bliss! Hey there! Are you intrigued by the idea of organising your life or business with a database tool but feel overwhelmed by the tech jargon? Don't worry, I've got your back! Join me for a laid-back class where we'll demystify the world of databases, starting with everyone's favourite: Airtable the no-coding needed database platform. I can show you the ropes of Airtable no need for fancy degrees or prior experience - just bring your curiosity and a willingness to learn! What's on the agenda, you ask? Well, we'll kick things off by getting cozy with the Airtable interface, so you can navigate like a pro in no time. Then, it's time to roll up our sleeves and dive into the juicy stuff: creating your own custom databases! Potential uses of Airtable bespoke creation: - Personal Task Management - Event Planning - Inventory Management - Content Calendar - Customer Relationship Management (CRM) - Project Management - Habit Tracking - Budgeting and Expense Tracking But hey, don't sweat it if you're not sure what kind of database you need. Whether you're a freelancer, small business owner, or just someone trying to keep track of your life admin, I'll help you brainstorm ideas and tailor your database to fit your unique needs. From managing contacts to tracking projects or even organizing your collection of cat memes (we don't judge!), Airtable's got you. And the best part? I can show you how to do it all without pulling your hair out in frustration! So, if you're ready to kick your spreadsheet game up a notch and embrace the zen of organized data, grab a spot with a class and let's get this database party started!
Database · Business administration · Information systems
Showing results 26 - 50 of 12626 - 50 of 126

Our students from Belgien evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from Belgien to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 18 reviews.

Microsoft Excel for any application [ITA/ENG] 100% Practical (Bologna)
Enrico
rating star
rating green star
Enrico is a very talented, dedicated and calm teacher - he can explain very well, is extremely patient and makes independent examples, which are very helpful and practical. I learn a lot about Excel applications in Finance I am very, very happy that I found him through this platform. His teaching methods are great, very clear and concise. Therefore, I can only recommend Enrico, I am sure you won't be diasappointed!
Review by JUSTINE
Learn Maths, Project Management (PMP), Agile Project Management and Tableau (Coventry)
Etido
rating star
rating green star
Very helpful, very encouraging, very knowledgable. I need some last minute help with a project and Etido stepped up to the mark. He knows tableau very well, and his teaching method was informative and reassuring. I would recommend him as much for trouble-shooting as teaching. I may need his services again and I certainly won't hesitate to contact him.
Review by REBECCA
[PYTHON - Data Science - AI] Learn Python & Data Science & Artificial Intelligence from beginner to advanced (La Celle-sous-Gouzon)
Emna
rating star
rating green star
Emna is an excellent teacher. Emna makes every lesson fun to learn and my son (9 years) is having fun learning to code. He has taken so much interest after starting Python with Emna that he started coding himself after just 10 lessons! Highly recommend Emna.
Review by NIRAJ
map iconMap