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    Fundamentals of SPSS for Biologists: A step by step approach to doing more with SPSS

    🔰 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

    Extra information

    Bring your laptop along

    Location

    At student's location: Around Medina Estates, Ghana
    At student's location: Around Medina Estates, Ghana
    Online via webcam

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    General info

    Age:
    Children (7-12 years old)
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Beginner
    Intermediate
    Duration:
    60 minutes
    The class is taught in:English

    About Me

    ⭐ I am a passionate and results-driven tutor and scientist with over three years of
    experience. My domains are data science/analytics, bioinformatics, genomics and
    microbiology.

    ⭐ Creating significant change through practical knowledge is a top priority. I teach using
    foolproof ways I have devised over the years which transmit knowledge with easy
    understanding and simplicity.

    Education

    ⭐ University of Ghana
    MPhil Medical Microbiology
    (2022-2023)

    ⭐ Kwame Nkrumah University of Science and Technology
    BSc Biological Sciences
    (2016-2020)
    First Class Honors

    Experience / Qualifications

    WORK

    ⭐ Noguchi Memorial Institute for Medical Research (April 2021 to date)
    Research Scientist
    ✅ Draft manuscripts based on data generated on the project, quantify
    DNA, perform library preparations and process DNA for sequencing and perform
    bioinformatic analysis of sequencing data using command line and web-based tools

    ⭐ West African Genetic Medicine Center (September 2020 to August 2021)
    Research Assistant
    ✅ Data management, biorepository, DNA extraction and quality check, and Hb analysis
    using Capillarys 2 Serbia Piercing.

    ⭐ Science Tutor (August 2020 to date)
    ✅ Simplify concepts for students from the basic to the tertiary level of education.

    ⭐ Noguchi Memorial Institute for Medical Research (June 2019 to July 2019)
    Summer Intern
    ✅ Electrophoresis, Polymerase Chain Reaction, Antimicrobial Sensitivity Test, bacterial
    culturing, biosafety, report writing, participation in journal meetings, and making
    presentations.

    ⭐ A-Zone Network (Non-Governmental Organization) (2018 to date)
    Mentor
    ✅ Providing academic and career advice to students.

    ⭐ Medi-trust Laboratory and Diagnostic Services (July 2017 to September 2017)
    Summer Intern
    ✅ The front desk clerk, WIDAL test, Rapid Diagnostic Testing, blood film, electrophoresis,
    and report writing.

    SKILLS
    ✅ Data Science: Python, R, SPSS, SQL, Redcap, Tableau, PowerBI, GraphPad, Excel etc.
    ✅ Machine learning
    ✅ Bioinformatics analysis
    ✅ Microsoft Office
    ✅ Scientific writing
    ✅ Mentorship
    🔰 This course provides a comprehensive introduction to bacterial bioinformatics, combining both theoretical knowledge and practical skills to analyze microbial genomes. 🔰 Designed for beginners and intermediate learners, it explores the tools and techniques used to study the genetics, evolution, and function of bacteria. Students will gain hands-on experience in using bioinformatics tools for sequence analysis, genome annotation, phylogenetics, and comparative genomics, with an emphasis on real-world applications in research and healthcare. 🔰 By the end of the course, students will be equipped to tackle bioinformatics challenges in bacterial studies and contribute to advancements in microbiology and infectious disease research. SYLLABUS: ✳️ Module 1: Introduction to Bacterial Bioinformatics ♦️ Overview of bioinformatics and its importance in microbial research ♦️ Basic concepts in molecular biology relevant to bacterial bioinformatics ♦️ Introduction to bacterial genome structure and diversity ♦️ Key databases and resources for bacterial genome information ✳️ Module 2: Introduction to Genomics and Sequence Analysis ♦️ Understanding DNA sequencing technologies (e.g., Illumina, Nanopore, PacBio) ♦️ Introduction to raw sequencing data: FASTQ format and quality control ♦️ Basic sequence alignment techniques (BLAST, Bowtie, etc.) ♦️ Handling genomic data using bioinformatics tools (Galaxy, Biopython, etc.) ✳️ Module 3: Genome Assembly and Annotation ♦️ Overview of genome assembly methods (de novo vs. reference-based) ♦️ Tools for genome assembly (SPAdes, shovill, etc.) ♦️ Genome annotation pipelines (Prokka, RAST) ♦️ Identifying functional genes, operons, and metabolic pathways ✳️ Module 4: Phylogenetics and Comparative Genomics ♦️ Introduction to phylogenetic analysis: tree building methods (e.g., neighbor-joining, maximum likelihood) ♦️ Comparative genomics: identifying conserved and variable regions ♦️ Using multiple genome alignments for strain comparison ♦️ Tools for phylogenetic analysis (MEGA, FastTree, RaxML etc.) ✳️ Module 5: Functional Genomics and Metagenomics ♦️ Analyzing gene expression and functional genomics tools ♦️ Introduction to metagenomics: studying microbial communities through sequencing ♦️ Tools for analyzing metagenomic data (QIIME, MetaPhlAn) ✳️ Module 6: Antibiotic Resistance and Bacterial Pathogenesis ♦️ Bioinformatics tools for studying antimicrobial resistance (AMR) ♦️ Identifying AMR genes in bacterial genomes ♦️ Exploring pathogenicity factors and virulence genes ♦️ Understanding the role of bioinformatics in fighting infectious diseases ✳️ Module 7: Hands-On Project ♦️ Practical exercises in bacterial genome analysis ♦️ Complete a case study: annotation, alignment, and phylogenetic analysis of a bacterial genome ♦️ Explore a real-world application of bacterial bioinformatics in research ✳️ Module 8: Future Trends and Resources ♦️ The role of artificial intelligence in bioinformatics ♦️ Emerging technologies in sequencing and bioinformatics tools ♦️ Key databases and resources for continued learning (e.g., NCBI, EMBL, KEGG)
    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
    🔰 Unlock the secrets of infectious disease spread with Molecular Epidemiology for Beginners! 🔰 This course simplifies complex genetic concepts, making it easy to explore how microbes evolve and spread within populations. 🔰 You will dive into the molecular tools and techniques scientists use to track pathogens, uncover the drivers of outbreaks, and combat infectious diseases. Whether you are a student, researcher, or curious learner, I will guide you with clear explanations, practical insights, and real-world examples. Join now and take your first step into the fascinating world of molecular epidemiology! COURSE CURRICULUM 🟢 Module 1: Introduction to Molecular Epidemiology ◘ Lesson 1.1: What is Molecular Epidemiology? ◘ Lesson 1.2: Importance of Molecular Epidemiology in Public Health ◘ Lesson 1.3: Basics of Microbial Genetics and Evolution ◘ Lesson 1.4: Key Terms and Concepts (e.g., genetic markers, genotypes, SNPs) 🟢 Module 2: Tools and Techniques in Molecular Epidemiology ◘ Lesson 2.1: Molecular Techniques Overview (PCR, sequencing, etc.) ◘ Lesson 2.2: Whole Genome Sequencing (WGS) Basics ◘ Lesson 2.3: Genetic Typing and Fingerprinting (e.g., MLST, PFGE) ◘ Lesson 2.4: Bioinformatics Tools for Data Analysis 🟢 Module 3: Microbial Diversity and Evolutionary Dynamics ◘ Lesson 3.1: Microbial Population Genetics ◘ Lesson 3.2: Horizontal Gene Transfer and its Implications ◘ Lesson 3.3: Pathogen Evolution and Antimicrobial Resistance (AMR) ◘ Lesson 3.4: Case Studies in Microbial Evolution 🟢 Module 4: Applications of Molecular Epidemiology ◘ Lesson 4.1: Investigating Outbreaks Using Molecular Tools ◘ Lesson 4.2: Tracking Pathogen Transmission Pathways ◘ Lesson 4.3: AMR Surveillance and Molecular Epidemiology ◘ Lesson 4.4: Impact of Molecular Epidemiology on Vaccine Development 🟢 Module 5: Data Interpretation and Communication ◘ Lesson 5.1: Interpreting Molecular Data in Epidemiological Context ◘ Lesson 5.2: Statistical Approaches in Molecular Epidemiology ◘ Lesson 5.3: Visualizing Genetic Data (phylogenetic trees, heatmaps) ◘ Lesson 5.4: Communicating Findings to Diverse Audiences 🟢 Module 6: Ethical and Practical Considerations ◘ Lesson 6.1: Ethical Issues in Genomic Data Collection and Sharing ◘ Lesson 6.2: Quality Control in Molecular Studies ◘ Lesson 6.3: Ensuring Reproducibility and Transparency ◘ Lesson 6.4: Future Trends in Molecular Epidemiology 🟢 Module 7: Capstone Project ◘ Lesson 7.1: Designing a Molecular Epidemiology Study ◘ Lesson 7.2: Analyzing a Real-World Dataset ◘ Lesson 7.3: Preparing a Scientific Report ◘ Lesson 7.4: Peer Review and Feedback
    🔰 Dive Into the Fascinating World of Microbiology – Made Fun and Accessible for Beginners! 🔰 Have you ever wondered what lies beyond what the naked eye can see? Microbiology unveils the hidden world of microorganisms—tiny yet powerful entities that shape our environment, health, and daily lives. 🔰 In this course, we will embark on an exciting journey to uncover this microscopic universe. Through engaging lessons and interactive activities, I’ve designed a unique approach to make this adventure both fun and easy to follow. You’ll explore the unseen wonders of bacteria, viruses, fungi, and more, with hands-on insights that ignite curiosity and leave you wanting more. 🔰 This course is perfect for beginners eager to understand the basics of microbiology or those seeking a fresh, fun introduction to the science of the unseen. Whether you are starting your scientific journey or simply indulging your curiosity, this class will give you the knowledge and experience you’ve been craving. Let us unlock the mysteries of the microbial world together—where learning is as fascinating as the creatures we will discover! SYLLABUS Module 1: Introduction to Microbiology ✳️ Lesson 1.1: What is Microbiology? ◘ Definition and scope ◘ Why microbiology matters in everyday life ✳️ Lesson 1.2: Historical Perspectives ◘ Pioneers in microbiology: Antonie van Leeuwenhoek, Louis Pasteur, and Robert Koch ◘ Key discoveries that shaped the field ✳️ Lesson 1.3: Tools of the Trade ◘ Microscopes: Light vs. electron microscopy ◘ Techniques for observing microorganisms Module 2: The Microbial World ✳️ Lesson 2.1: Classification of Microorganisms ◘ Bacteria, viruses, fungi, protozoa, and algae ◘ The three domains of life: Bacteria, Archaea, and Eukarya ✳️ Lesson 2.2: Bacteria: The Good, the Bad, and the Ugly ◘ Structure, shapes, and functions ◘ Beneficial vs. harmful bacteria ✳️ Lesson 2.3: Viruses: Not Quite Alive ◘ Basic structure and life cycle ◘ Common viral infections ✳️ Lesson 2.4: Fungi, Protozoa, and Algae ◘ Key features and roles in ecosystems ◘ Applications in food, medicine, and biotechnology Module 3: Microbial Habitats and Diversity ✳️ Lesson 3.1: Where Microbes Live ◘ Soil, water, air, and extreme environments ✳️ Lesson 3.2: Microbes in the Human Body ◘ The microbiome and its importance ◘ Microbes in health and disease ✳️ Lesson 3.3: Microbes in Ecosystems ◘ Roles in nutrient cycling and energy flow ◘ Symbiotic relationships (e.g., lichens, mycorrhizae) Module 4: Microbes in Everyday Life ✳️ Lesson 4.1: Microbes in Food ◘ Fermentation: Yogurt, cheese, bread, and beverages ◘ Spoilage and food safety ✳️ Lesson 4.2: Microbes in Medicine ◘ Antibiotics and vaccines ◘ Emerging therapies: Phage therapy and probiotics ✳️ Lesson 4.3: Microbes in Industry and the Environment ◘ Bioremediation and biofuels ◘ Production of enzymes and other bio-products Module 5: Methods in Microbiology ✳️ Lesson 5.1: Culturing Microbes ◘ Growth media and aseptic techniques ✳️ Lesson 5.2: Identifying Microorganisms ◘ Staining techniques (e.g., Gram staining) ◘ Biochemical and molecular identification methods ✳️ Lesson 5.3: Controlling Microbial Growth ◘ Sterilization, disinfection, and antibiotics Module 6: Careers and Innovations in Microbiology ✳️ Lesson 6.1: Career Paths in Microbiology ◘ Academia, healthcare, industry, and research ✳️ Lesson 6.2: Innovations and Trends ◘ CRISPR, synthetic biology, and metagenomics ✳️ Lesson 6.3: Fun Microbiology Projects ◘ Home experiments to explore microbial life

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    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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    Certified Mathematics Teacher, Masters in Mathematics, 13 years of experience – Specialist in high school, middle school and 1st year Math SUP students
    As a first grade mathematics teacher who graduated from the teachers' college and taught for 13 years in public high schools, I offer mathematics tutoring courses at home for: College or high school students of levels T and Common Core Sciences, TC Technological, 1st Bac Experimental Sciences and terminal of all sectors (SVT-PC-SC.Math-L) The 2nd and 1st general classes Terminale specialty of the French system The 5th, 4th and 3rd levels of the college My goal is to help students to: Improve their level Deepen their knowledge Assimilate their courses fill in their gaps improve I am also able to support them in the preparation of their exams and entrance exams to the Grandes Ecoles, as well as providing them with homework help. I am convinced that I have the qualities required to allow my students to progress and perhaps even give them a taste for this subject!"

    Rizwana
    Learn Hindi in an easy and interesting way with me
    Hello I am Rizwana. I 'm from India.Hindi is my native Language. I also teach English, Urdu and Gujarati language. I have 7 years of experience in teaching.Teaching language is my passion but over the years I have experienced that more than passion it requires lot of patience and dedication. And every student has a different requirement. So I first try and understand the psychology, the strengths of my students and then I prepare the lesson plans accordingly.

    Medo
    More than 13 years of teaching mathematics in high school. I offer support courses in mathematics
    As a highly qualified maths teacher, a graduate of the college of teachers and with 11 years of teaching experience in public high schools, I am happy to offer tutoring lessons in mathematics at home for students from level T and Common Core Sciences, TC Technological, 1st Baccalaureate Experimental Sciences and final of all the sectors (SVT-PC-SC.Math-L), as well as for the classes of 2nd and 1st general, Terminale specialty of the French system, as well than the 5th, 4th and 3rd levels of college. My primary objective is to help students improve their level, deepen their knowledge, assimilate their lessons, fill their gaps and improve their skills in the discipline of mathematics. In addition, I am perfectly able to support them in the preparation of their exams and competitions for access to the Grandes Ecoles, and to provide them with homework help so that they can succeed in this subject. With my advanced math skills and knowledge, I am confident that I can provide my students with effective tools and techniques to help them progress. My goal is to give them confidence and help them develop a passion for mathematics, a subject that can seem daunting at first, but can be exciting and rewarding if taught in an interesting and fun way. By choosing my tutoring courses in mathematics, students can expect to receive individual attention and personalized help to overcome their difficulties and achieve their goals. My teaching approach is interactive and student-centered, which allows for a deeper understanding of mathematical concepts and a more practical application of acquired knowledge. In summary, I am confident in my skills as a math teacher to help students of all levels progress and succeed in this demanding subject. I am convinced that my dynamic and stimulating teaching methods will help my students achieve their math goals and build a confidence that will follow them throughout their lives.

    Hagar
    Chemistry and biology in all their branches for school and university students
    5 years of experience in teaching chemistry and biology to school and university students. She holds a Bachelor of Pharmacy in Pharmaceutical Sciences in addition to a Master’s degree in Analytical Chemistry with honors. The student will learn to understand chemical equations, compounds, and reactions, and enjoy studying and applying the lessons with ease and simplicity through a simplified explanation and simple-to-understand means of clarification.

    Brahim
    Introduction to NoSQL DataBase MongoDB by Pratique
    Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

    Christoph
    Statistics, probability theory and data analysis for all subjects
    Are you looking for help with statistics or data analysis? To prepare for an exam, accomplish a coursework, a bachelor's, master's or doctoral thesis? I have a PhD title in physics and have been teaching statistics for 10 years. I have already helped more than 150 students succeed. I make the lecture material more understandable using concrete examples. I correct papers, explain the best methods to solve tasks or put up my own exercices to achieve the necessary level. I help in interpreting the output of common statistical programs (R/RStudio, Jamovi) or in carrying out entire analyses. I am an affable character and am completely committed to one goal: the success of the student.

    Samah
    Learn science, chemistry or biology...Gulf curricula
    Learn with me science, chemistry or biology in an easy and simple way You can send me your school's syllabus. We start learning together through your school curriculum so that you do not feel distracted. I can teach all ages from elementary to middle school (science) To secondary school (chemistry and biology)

    Charles
    IB Biology SL & HL: Tutor for Easy understanding & preparation for past papers questions, final papers, IA
    I have been trained in NEW curriculum starting from Fall 2023. Also, I have trained with the previous older curriculum: 2016 - 2022 I am an IB Biology teacher that teaches both SL & HL courses. I have been teaching for over 15 years. I can make learning biology fun and give tips on how to understand things in an easier way in order to succeed on the final papers and/or the Internal Assessment / Individual Investigation. I have created my own personal PowerPoint slides that can aid a student in a clear and efficient way. Practicing and reviewing past paper questions is essential to gain confidence and experience on a student's final assessment, which I can definitely provide and assist in.

    Elmehdi
    I'm a developer coach with over 10 years of experience in website and database development. Titolay
    I'm a developer coach with over 10 years of experience in website and database development. Holding a professional license and several industry-recognized certifications, he is a MySQL expert and able to walk you through the most complex requests. As a coordinated and passionate website builder, I am able to share my knowledge and experience with over 100's of people to help achieve their development goals. Many renewable projects are experienced and able to deliver high quality results. If you are looking for a talented developer coach to help you with your MySQL demands, please feel free to contact me.”