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Data Science Certification Training in Hamburg

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      Get Acquire Our Resourceful Data Science Certification Course in Hamburg

      • Our Data Science Training path targets to offer guidance that mixes exquisite technical statistics with a hands-on approach.
      • This entire hands-on path takes you from the basics of Data Science to a complicated degree in weeks.
      • Get hands-on programming to revel in Python that you may be capable of proper now have a take a observe in the actual world.
      • Adorn yourself with the abilities you want to paintings with huge information sets, accumulate predictive models, and inform a compelling tale to stakeholders.
      • You'll have a take look at the save you-to-save you information technology process, protective the entirety you want to apprehend to derive price from complicated information.
      • By the save you of the path, you may be cabin a characteristic to speak information insights effectively thru information visualizations.
      • For your capstone, you’ll location gadget-reading fashions into manufacturing to address actual international information challenges.
      • At ACTE Training, we manual instructors in acquiring appropriate qualifications. In addition, for every path we offer, we've got a hard certificate of completion.
      • START YOUR CAREER WITH Data Science Certification COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!

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      550+ Students Placed Every Month!

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      Other Categories Placements
      • Non-IT to IT (Career Transition) 2371+
      • Diploma Candidates3001+
      • Non-Engineering Students (Arts & Science)3419+
      • Engineering Students3571+
      • CTC Greater than 5 LPA4542+
      • Academic Percentage Less than 60%5583+
      • Career Break / Gap Students2588+
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      Upcoming Batches For Classroom and Online

      Weekdays
      08 - Dec - 2025
      08:00 AM & 10:00 AM
      Weekdays
      10 - Dec - 2025
      08:00 AM & 10:00 AM
      Weekends
      13 - Dec - 2025
      (10:00 AM - 01:30 PM)
      Weekends
      14 - Dec - 2025
      (09:00 AM - 02:00 PM)
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      INR 18,500
      INR 38,000

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      • Learn basic maths and logical thinking to solve problems easily.
      • Understand simple coding and technical concepts step by step.
      • Get ready for exams and interviews with regular practice.
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      🛠️ Hands-On Projects

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      • Practice company-based interview questions.
      • Take online assessment tests to crack interviews
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      Syllabus of Data Science Course in Hamburg

      Module 1: Introduction to Data Science with R
      • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
      • Hands-on Exercise - Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.
      Module 2: Data Exploration
      • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
      • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
      Module 3: Data Manipulation
      • Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
      • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
      Module 4: Data Visualization
      • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
      • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
      Module 5: Introduction to Statistics
      • Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
      • Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
      Module 6: Machine Learning
      • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
      • Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
      Module 7: Logistic Regression
      • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
      • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
      Module 8: Decision Trees & Random Forest
      • What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
      • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
      Module 9: Unsupervised learning
      • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
      • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
      Module 10: Association Rule Mining & Recommendation Engine
      • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
      • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
      Module 11: Introduction to Artificial Intelligence (self paced)
      • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
      Module 12: Time Series Analysis (self paced)
      • What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
      • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
      Module 13: Support Vector Machine - (SVM) (self paced)
      • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
      Module 14: Naïve Bayes (self paced)
      • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
      Module 15: Text Mining (self paced)
      • Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
      Module 16: Case Study
      • This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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      Course Objectives

      • Among all Data Science, Data Science has grown as the market leader in business analytics.
      • Most MNCs and larger corporations have a high demand for Data Science-certified professionals today.
      • Data Science jobs can provide you with full-time employment and the opportunity to work with top companies.
      • Data Science's Demand and Future Scope.
      • One of the reasons Data Science excels among BI tools is that it is a great cloud-based tool for data visualization.
      • It also has a wide range of connectivity options, including spreadsheets, databases, and even big data.
      • Master concepts such as knowledge visualization and integration.
      • Power Pivot, Power View, Power Map, and other similar tools should be studied.
      • Custom Visuals should be used and implemented.
      • Learn more about Data Science metal Q&A.
      • Execute knowledge.
      • Data formatting and binding.
      As mentioned at the end of the section, business intelligence has evolved corporations' decision-making skills, allowing them to create the most powerful future actions for corporations and find themselves growing even more.Data Science has emerged as the leader in business analytics among all BI tools. Most MNCs and larger corporations have a high demand for Data Science certified professionals today.Data Science jobs can pay well and provide you with the opportunity to work for large corporations.
      The following are the roles and responsibilities of an influential BI developer:
      • Recognize the needs of the business and build data models accordingly.
      • Accountable for project documentation and style methodology.
      • Using Power BI desktop to improve visual reports, dashboards, and KPI scorecards.
      • Highly skilled in data analysis for the creation of educational visuals and stories.
      • Excellent at building DAX queries in Data Science Desktop.
      • To learn or work with Data Science, you do not need any coding skills.
      • If you want to figure out what the essential Graphical User Interface (GUI) of Data Science has to offer, you'll need to look into DAX, R, or M.
      • Data Science alters this.
      • Any analyst can connect to any information source and quickly summarise findings into a simple report, with no programming required.
      • Any advanced user who is comfortable with creating models that reference other sheets or performing advanced functions such as operation can easily make the change to Data Science.
      Data Science can be a powerful business intelligence tool, but beginners should first understand the concepts of knowledge visualization before attempting to use it. A Data Science course is one of the most effective resources for beginners to learn from the ground up.
      Excel's process is faster than Power Excel's. Data Science dashboards are a lot more visually appealing, interactive, and customizable than Excel dashboards. Data Science is a collection of powerful tools that excel at comparing tables, reports, or data files.

      Are there any Microsoft Data Science job openings?

      • In today's data-driven world, Business Intelligence (BI) appears to be a more beautiful known opportunity.
      • If you're looking for a job in Data Science, you'll want to know what positions are available for Data Science developers.
      • Data visualization is a business prospect, and tools used to reflect data will be required, so Data Science is working to be a diverse and powerful tool for ambitious candidates.

      What is the goal of Data Science education?

      Data Science is a collection of computer software services, apps, and connectors that work together to transform your disparate data sources into coherent, visually immersive, and interactive insights. Your expertise could also be represented by an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses.

      Who should enroll in this Data Science certification course?

      • Individuals looking for work as Business Analysts, Business Development Managers, and so on.
      • Statisticians are advancing in their ability to apply their statistical knowledge to gain business insights.
      • Professionals in marketing, finance, sales, and other domains who require extensive Business Intelligence.

      What is the average salary for a Data Science developer?

      In India, the average salary for a Data Science specialist is Rs. 3,87,188. Filter results by location to see Data Science Consultant salaries in your area.

      What exactly are Data Science tools?

      • Service for data science.
      • Gateway for Data Science.
      • Server for Data Science Reports.
      • Mobile Data Science Apps.
      • Integration of data.
      • Processing of data.
      • Data Visualization.
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      Overview of Data Science Certification Training in Hamburg

      Our Data Scientist Online Training is well-equipped with labs and excellent infrastructure to provide you with real-time Online Courses experience. A Data Scientist Certification program is also available. After completing the Data Scientist Online Training program, we have successfully Trained and placed many of our students in major MNC corporations. Our students receive 100% placement assistance. We provide Classroom and Weekend Training, as well as a Fast Track to the rewarding Data Scientist Certification.

      Students can pick the route times that are most convenient for them. Material for the Data Scientist online Course is created in light of current events and might aid students in comprehending the Data Scientist Training concepts in more depth. We cover everything from the foundations to advanced topics. Every topic covered by the Data Scientist Certification may be described in practical terms using examples. Our Data Scientist Certification Experts are credentialed professionals and trained experts that have hands-on experience with current Data Scientist Certification projects.

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      Hands on Real-Time Data Science Projects In Hamburg

      Project 1
      House Price Prediction

      It predicts the median value of owner-occupied homes by applying machine learning algorithms.

      Project 2
      Exploratory Data Analysis

      Exploratory Data Analysis is the process of making sense of your data by investigating it.

      Project 3
      Sarcastic News Detection

      This project involves developing a classification model to classify a news headline as sarcastic or not sarcastic.

      Project 4
      Data cleansing Project

      The main aim of this project is to check whether our database has some duplicates that are not detected.

      Our Top Hiring Partner for Placements

        ACTE Offers placement opportunities as add-on to every student / professional who completed our classroom or Online Data Science Certification Training in Hamburg. Some of our Students are working in these companies listed below.
      • The Course includes 50 Hours of hands-on Instruction to ensure that you are comfortable with Tableau.
      • We have ties to significant Indian corporations that may be able to assist trainees. HCL, Wipro, Dell, Accenture, Google, CTS, TCS, and IBM are among the companies that will recruit students.
      • ACTE will Training students by Designing and disseminating a one-of-a-kind student portal.
      • Once students have finished 50% of the Training curriculum, we will set up interview calls for them and prepare them for face-to-face meetings with potential MNCs.
      • Instructors aid students in restarting efforts to address the industry's current issues.
      • Our Team leads a Group Discussion with the students after the Course.
      • We have a staff of Placement Guides that help students find the greatest match for them.
      • We have separate placement student sites where you can obtain all of the emailed interview schedules and Information.

      Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

      Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

      Complete Your Course

      a downloadable Certificate in PDF format, immediately available to you when you complete your Course

      Get Certified

      a physical version of your officially branded and security-marked Certificate.

      Get Certified

      About Experienced Data Science Trainer

      • ACTE Data Science Training Trainers are well-known professionals who work for huge Global Corporations and have at least seven years of experience in their respective professions.
      • Because all Trainers administer Training spaces, they have access to some maintenance resources that they might use to achieve specific goals during Training sessions.
      • To mention a few, our Training has worked at Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, and HCL Technologies.
      • Trainers use the worker Referral Hiring approach to help individuals find work in a variety of situations.
      • Our Teachers are business experts and compassionate people who have created cardiovascular fitness programs to provide the finest possible training to students.
      • Certification Trainers teach the essentials of employer evaluation after reading the Guide.
      • Our hands-on Training will provide you with industry-relevant skills, allowing you to contribute significantly to the advancement of a career in a rapidly changing sector.

      Authorized Partners

      ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS .
      Get Training Quote for Free

            Career Support

            Placement Assistance

            Exclusive access to ACTE Job portal

            Mock Interview Preparation

            1 on 1 Career Mentoring Sessions

            Career Oriented Sessions

            Resume & LinkedIn Profile Building

            We Offer High-Quality Training at The Lowest Prices.

            Affordable, Quality Training for Freshers to Launch IT Careers & Land Top Placements.

            What Makes ACTE Training Different?

            Feature

            ACTE Technologies

            Other Institutes

            Affordable Fees

            Competitive Pricing With Flexible Payment Options.

            Higher Fees With Limited Payment Options.

            Industry Experts

            Well Experienced Trainer From a Relevant Field With Practical Training

            Theoretical Class With Limited Practical

            Updated Syllabus

            Updated and Industry-relevant Course Curriculum With Hands-on Learning.

            Outdated Curriculum With Limited Practical Training.

            Hands-on projects

            Real-world Projects With Live Case Studies and Collaboration With Companies.

            Basic Projects With Limited Real-world Application.

            Certification

            Industry-recognized Certifications With Global Validity.

            Basic Certifications With Limited Recognition.

            Placement Support

            Strong Placement Support With Tie-ups With Top Companies and Mock Interviews.

            Basic Placement Support

            Industry Partnerships

            Strong Ties With Top Tech Companies for Internships and Placements

            No Partnerships, Limited Opportunities

            Batch Size

            Small Batch Sizes for Personalized Attention.

            Large Batch Sizes With Limited Individual Focus.

            LMS Features

            Lifetime Access Course video Materials in LMS, Online Interview Practice, upload resumes in Placement Portal.

            No LMS Features or Perks.

            Training Support

            Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.

            Limited Mentor Support and No After-hours Assistance.

            Data Science Certification Course FAQs

            Looking for better Discount Price?

            Call now: +91-7669 100 251 and know the exciting offers available for you!
            • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
            • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
            • More than 3500+ students placed in last year in India & Globally
            • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
            • 85% percent placement record
            • Our Placement Cell support you till you get placed in better MNC
            • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
            ACTE
              • Gives
            Certificate
              • For Completing A Course
            • Certification is Accredited by all major Global Companies
            • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS .
            • The entire Data Science Certification training has been built around Real Time Implementation
            • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
            • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
            All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
            No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
            We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

            Why Should I Learn Data Science Certification Course At ACTE?

            • Data Science Certification Course in ACTE is designed & conducted by Data Science Certification experts with 10+ years of experience in the Data Science Certification domain
            • Only institution in India with the right blend of theory & practical sessions
            • In-depth Course coverage for 60+ Hours
            • More than 50,000+ students trust ACTE
            • Affordable fees keeping students and IT working professionals in mind
            • Course timings designed to suit working professionals and students
            • Interview tips and training
            • Resume building support
            • Real-time projects and case studies
            Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
            You will receive ACTE globally recognized course completion certification Along with project experience, job support, and lifetime resources.
            We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
            We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science Certification batch to 5 or 6 members
            Our courseware is designed to give a hands-on approach to the students in Data Science Certification . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
            You can contact our support number at +91 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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