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2 statistics teachers in Barking

Fahd - Beijing, China£92
£92Theory and Practice in Research Methodology: A Comprehensive Course for Researchers
Trusted teacher: Welcome to the Research Methodology Course: Theory and Practical Applications! Embark on a comprehensive journey that combines the foundational theories of research methodology with hands-on practical applications. Whether you're a novice researcher or seeking to enhance your research skills, this course is designed to provide you with a holistic understanding of the research process. Course Highlights: * Theoretical Foundations: Explore the fundamental theories that underpin effective research methodology. Understand the philosophies, paradigms, and ethical considerations that guide robust research. * Practical Applications: Dive into the practical side of research with real-world examples and exercises. Develop essential skills in research design, data collection, analysis, and interpretation. * Hands-On Experience: Gain practical experience through research projects, case studies, and interactive activities. Apply theoretical knowledge in real scenarios to reinforce your understanding. * Statistical Techniques: Learn key statistical methods essential for data analysis in research. From basic descriptive statistics to advanced inferential techniques, equip yourself with the tools to derive meaningful insights. * Effective Communication: Master the art of presenting research findings. Enhance your ability to communicate complex research concepts and results to diverse audiences. * Paper Review Sessions: Engage in dedicated paper review sessions, where you will assess and be assessed by your peers. Develop the skill of providing constructive feedback and refining your own work through the valuable insights of others. Who Should Attend: - Students pursuing research projects - Professionals seeking to enhance research skills - Anyone interested in a comprehensive understanding of research methodology Course Format: - Interactive lectures - Practical workshops - Group discussions - Real-world case studies Enrollment Process: - Express Your Interest: Reach out to us to express your interest in the course. - Consultation: Schedule a consultation to discuss your specific learning goals and expectations. - Tailored Learning Plan: Receive a personalized learning plan based on your background and objectives. - Commence Your Journey: Join us in unlocking the world of research methodology, where theory meets practice. Elevate your research capabilities and embark on a journey towards becoming a proficient researcher. Contact us today to start your learning adventure!
Statistics · Methodology course
William - Accra, Ghana£21
£21Research Methodology Toolkit for Biologists: The Golden Solution to Every Novice Scientist's Dilemma
Trusted teacher: Are you eager to master the foundational principles of research methodology and unlock the tools for solving complex research challenges? This dynamic and practical course is your gateway to becoming a confident and skilled researcher. Packed with engaging lessons, real-world applications, and hands-on activities, you will acquire essential skills to design, execute, and publish impactful research. Whether you are a beginner or looking to enhance your expertise, this course will empower you to confidently tackle research projects and turn your findings into publications that make a difference. Join me and take your research capabilities to the next level! SYLLABUS Module 1: Foundations of Biological Research 🔵 Lesson 1.1: Understanding the Research Process in Biology ◘ Definition and scope of biological research ◘ Types of biological research (basic, applied, translational) 🔵 Lesson 1.2: Identifying Research Questions in Biology ◘ Characteristics of impactful biological research questions ◘ Refining questions for molecular biology, ecology, genomics, etc. 🔵 Lesson 1.3: Conducting a Literature Review in Biology ◘ Identifying relevant biological journals and databases (e.g., PubMed, Web of Science) ◘ Critical analysis of biological papers Module 2: Designing Your Biological Research 🔵 Lesson 2.1: Research Design for Biologists ◘ Experimental vs. observational studies in biology ◘ Designing robust controls and replicates 🔵 Lesson 2.2: Hypothesis Formulation in Biology ◘ Writing testable biological hypotheses ◘ Defining null and alternative hypotheses 🔵 Lesson 2.3: Sampling in Biological Studies ◘ Strategies for collecting biological samples (field and lab-based) ◘ Addressing sample size in population studies and molecular analyses Module 3: Biological Data Collection Techniques 🔵 Lesson 3.1: Experimental Techniques in Biology ◘ Common lab methods (e.g., PCR, Western blotting, microscopy) ◘ Good lab practices (GLP) for reproducibility 🔵 Lesson 3.2: Fieldwork for Biologists ◘ Designing ecological surveys and biodiversity studies ◘ Tools for field sampling (e.g., GPS, quadrats, transects) 🔵 Lesson 3.3: Handling Biological Specimens ◘ Sample preservation techniques for DNA, RNA, and proteins ◘ Best practices for labeling and storage Module 4: Biological Data Analysis and Interpretation 🔵 Lesson 4.1: Introduction to Statistical Analysis for Biologists ◘ Biostatistics fundamentals (e.g., t-tests, ANOVA, regression) ◘ Using R, Python, or SPSS for biological data 🔵 Lesson 4.2: Analyzing Genomic and Proteomic Data ◘ Tools like BLAST, MEGA, and Galaxy for sequence analysis ◘ Basics of bioinformatics workflows 🔵 Lesson 4.3: Interpreting Biological Results ◘ Connecting results to biological hypotheses ◘ Identifying and discussing limitations in biological research Module 5: Writing and Publishing in Biological Sciences 🔵 Lesson 5.1: Structuring a Biological Research Paper ◘ IMRAD format tailored for biological journals ◘ Writing clear and concise methods and results 🔵 Lesson 5.2: Referencing for Biologists ◘ Citation styles in biological sciences (e.g., Vancouver, APA) ◘ Using referencing tools specific to biology (e.g., EndNote, Zotero) 🔵 Lesson 5.3: Publishing in Biological Journals ◘ Identifying target journals (e.g., Nature, Cell, Microbial Genomics) ◘ Addressing reviewer comments Module 6: Ethics and Best Practices in Biological Research 🔵 Lesson 6.1: Ethical Considerations in Biology ◘ Handling live organisms and human samples ◘ Regulatory approvals (e.g., IACUC, IRB) 🔵 Lesson 6.2: Managing Biological Data ◘ FAIR principles (Findable, Accessible, Interoperable, Reusable) for biological data ◘ Data repositories for biology (e.g., NCBI, Dryad) 🔵 Lesson 6.3: Collaboration in Biology ◘ Building interdisciplinary teams (ecologists, geneticists, bioinformaticians) ◘ Leveraging platforms like ResearchGate for biologists Module 7: Practical Toolkit and Case Studies in Biology 🔵 Lesson 7.1: Tools for Efficient Biological Research ◘ Lab-specific tools (e.g., electronic lab notebooks, ELNs like LabArchives) ◘ Visualization tools (e.g., GraphPad Prism, BioRender) 🔵 Lesson 7.2: Case Studies in Biological Research ◘ Genomic studies on antimicrobial resistance pathogens ◘ Population studies in biodiversity hotspots ◘ Analyzing molecular mechanisms in model organisms
Writing · Statistics · Biology
Alonso - Chile£17
£17Advice, jobs or online classes in statistics, inference, econometrics, R programming, etc.
Trusted teacher: Statistical engineer with more than 7 years of experience in teaching, advisory and consulting offers assistance in all kinds of issues related to statistics or data modeling. The assistance mode is 100% online and the software to be used can be R (expert level), powerBI, gretl, sql, stata, spss and excel. Professionally, working for a multinational consulting firm, I have developed statistical models for several of the main financial institutions in Latin America, corresponding to the banking, retail, factoring, leasing, and insurance sectors, among others. On the other hand, as an independent consultant I have developed projects for all types of areas, such as the pharmaceutical industry, mining, medicine, architecture, forestry, etc. In addition, I have worked for two universities teaching mathematics and statistics subjects. Finally, it is important to highlight that quality, responsibility and respect are guaranteed in each class or required work. Accompanied by an effective teaching method, based on theoretical and practical knowledge, including real examples of applicability in the workplace. Regarding the value of the service, this will be agreed upon jointly and will depend on the advice or class to be carried out. Best regards Other sources: Statistics, Probability, Inference, Econometrics, Linear models, Nonparametric methods, Sampling, Data analysis, Time series, Experimental design, Multivariate analysis, Data mining, Quantitative methods, Biostatistics, Geostatistics, Credit risk, Risk Operational, Business Intelligence, Machine Learning, R Programming, Rstudio, R project.
Statistics · Computer programming · Microsoft excel
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Yinhao - Rotterdam, Netherlands£50
£50Mathematics, Statistics, and Econometrics up to university level | 3 diplomas
Trusted teacher: Do you need help in mathematics, statistics, probability theory, or econometrics? I'm a qualified teacher specializing in math, science, econometrics, and programming. I hold 3 university diplomas. Bachelor of Science in Finance (from a top 50 university in the world) Bachelor of Science in Econometrics and Operations Research (from the University of Groningen) Master of Science in Quantitative Finance (from a top 10 university in the world, ETH Zürich (Swiss Federal Institute of Technology in Zurich), on par with the University of Cambridge or University of Oxford) I offer help with your homework, and exam preparation in math, econometrics, and finance. Not only do I explain to you how to solve the problems in simple words, but also tell you the general way to solve problems of a kind. Therefore you'll be able to solve similar problems independently next time. Audience: Students in primary school, high school, and university (bachelor/master's level), all ages are welcome. Schedule: Flexible, upon agreement. Example: (1) Regular courses: courses on a regular basis as an auxiliary tool to catch up with the lectures in the school, or university; (2) Intensive courses: intensive courses with a long time aiming to prepare for the exam. Examples of the scope of the courses I offer (not exhaustive): Mathematics: Algebra, Arithmetic, Calculus, Probability Theory, Geometry, Trigonometry, Series and Sequences, Linear Programming, Statistics, Stochastic Processes, Stochastic Calculus, Derivative, Ordinary Differential Equations (ODEs), Partial Differential Equations (PDEs), Covariance and Correlation Matrix, etc. Econometrics: Time Series Analysis, Econometrics, Statistical Inference, etc. (any course in your Econometrics degree study) Please let me know if I can help :D
Math · Economics for students · Statistics
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(1 review)
Dr. Mohamed - Dubai, United Arab Emirates£21
£21Lessons in applied statistics, mathematics, operations research, and economics for all levels
Trusted teacher: I am honored to be a university professor specialized in teaching statistics, mathematics, operations research, and economics. Thanks to my extensive experience, which extended for 15 years, I became a professional in monitoring students’ level and contributing to their academic success and achieving their cognitive goals. I truly find true happiness in my work as a university professor by guiding and helping students in achieving their academic realization and raising their level of scientific awareness. Therefore, I have a strong belief in the importance of this noble mission in the field of education. Typically, sessions go like this: 1️⃣ The first sessions focus mainly on assessing the student’s level to determine the areas that need development. 2️⃣ Next, we prepare a plan to fill the gaps, including determining the number of hours needed, the materials to focus on, and providing a set of training and improvement exercises. 3️⃣ We are keen to constantly review the student’s curriculum to stay informed of the latest developments and ensure continuous coordination. 4️⃣ Next, we provide exams similar to those that could be asked in class. 5️⃣ Finally, we prepare a monthly report upon request to notify parents of the student’s progress and improvement points. I am honored to be a specialized university professor with 15 years of experience in teaching statistics, mathematics, and operations research. Thanks to my extensive experience, I have become a professional in monitoring students' progress and contributing to their academic success. Indeed, I find true happiness in my work as a university professor through guiding and assisting students in achieving their academic awareness and raising their level of scientific knowledge. Therefore, I have a strong belief in the importance of this noble mission in the field of education. Usually, sessions follow the following structure: 1️⃣ The initial sessions primarily focus on assessing the student’s level to identify the areas that need improvement. 2️⃣ Following that, we create a plan to address the identified areas, including determining the required number of hours, the specific subjects that need emphasis, and providing a range of practice and enhancement exercises. 3️⃣ We ensure ongoing alignment with the student’s curriculum to stay updated on the latest developments and maintain continuous coordination. 4️⃣ Subsequently, we administer similar exams to those that may be given in the classroom. 5️⃣ Finally, we prepare a monthly report upon request to inform parents about the student’s progress and areas of improvement.
Math · Statistics · Economics for students
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Our students from Barking evaluate their Statistics teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 34 reviews.

Physics and Mathematics: private lessons for Secondary/High School and University Students (Munich)
Lolian
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I'm a first year Informatics student, and Iv'e had around 20 hours of online math lessons with Lolian in the past few weeks. I can only recommend for anyone who needs help to choose Lolian's tutoring. He always makes sure that you completely understand and follow his explanations, very professional but also careful, and tries to be always available considering both side's schedule. Thank you so much!
Review by LIRI
Mathematics tutoring from secondary school to master's level by a French master's graduate (Schoten)
Han
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Han is very professional and friendly. He does a fantastic job at preparing lessons and support that is tailored perfectly to the student. He goes over and above to ensure that students receive quality support that is appropriate for their level and that provides a framework for their exam success. I would definitely recommend taking Han's classes!
Review by JORDAN
Statistics and Data Analysis, thesis supervision (SPSS, Python) (Delft)
Vishwa
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Despite not being familiar with my exact topic I'm studying, Vishwa did incredibly at explaining some coding and statistical problems I was struggling with.
Review by KATE

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