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Data Science Certification Training in Berlin

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Learn from Certified Experts

  • Exemplar level Training sessions in Data Science .
  • Best Practice for interview Preparation Techniques in Data Science.
  • Adequate Curriculum designed by Industrial Data Science Expert.
  • Delivered More than 14402+ Students Trained & 450+ Recruiting Clients.
  • Ascertainment Access to Student’s Portal, Videos & Top MNC Interview Question.
  • Next Data Science Certification Batch to Begin this week – Enroll Your Name Now!

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Fee INR 18000

INR 14000

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  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Get Acquire Our Resourceful Data Science Certification Training in Berlin

  • Data Science Certification Training directing covers the basic comprehension of Data Science with regards to the Guide.
  • With our primary Training bearing, candidates will advantage serious data of the significant thing principles of Salesforce assessment, hidden skills, and procedures.
  • Stand apart from the group – spotlight you perceive and be authorized through the method for the fundamental expert in Data Science .
  • The accreditation is realistic for junior undertaking investigators or individuals attempting to include in the profession of Data Science .
  • Our involved Training style will offer you industry-relevant abilities with a view to valuable assets inside the improvement of a calling on this quickly expanding vocation.
  • Moreover, broad preparation adds to the improvement of comprehension on this monstrous field, allowing you to without issues execute your regular undertakings.
  • At ACTE Training, we help understudies in gaining reasonable qualifications. We gift authentications of the total for each bearing we offer.
  • Concepts: Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, components of the Data Science Certification lifecycle, big data and Hadoop, Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
  • START YOUR CAREER WITH Data Science Certification COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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+91-7669 100 251
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+
Top Placement Record

Upcoming Batches

27-Jan-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

29-Jan-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

25-Jan-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

26-Jan-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

    Hear it from our Graduate

     

    Most Job Oriented Tools Covered in Data Science Training in Berlin

     

    Course Objectives

    • The curriculum is generally designed with the resource of the use of the most modern corporation standards. Our teachers provide real-time steerage with live duties to help you advantage from better knowledge of the trouble.
    • We provide training in pretty some formats, collectively with on-line, in a have a take a observe room and weekend batches.
    • Our training plan is exceedingly adaptable to your on-the-market necessities.
    • Because our experts can guide you via the method with the resource of the use of sharing their real-time testimonies in relevant sectors, our Data technological knowledge direction lets you crack related interviews at top MNCs.
      Data technological knowledge organizations have parents from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, generation, etc. You'll recognize severa information scientists with a bachelor's degree in statistics and tool studying however it's miles now no longer a name for to be knowledgeable Data Science.
    • Because big corporations do now no longer frequently appreciate freshers for the one's jobs, playing with real-time information technological knowledge initiatives may be a plus.
    • Our Data Science direction makes a uniqueness of defensive the critical curricula similarly to real-worldwide industrial corporation challenges.
    • Our real duties will let you advantage radical knowledge of the trouble and prepare you for interviews with major organizations for Data technological knowledge positions.
    • Our instructors can percentage their knowledge and assist you in resolving period troubles.
    • To begin a career in Data Science, you ought to whole each online or have a take a observe room training.
      Data technological know-how calls for the fundamentals of information and mathematics, which need to be clean to have the ability to investigate the troubles which can be at hand. To resolve commercial enterprise troubles, you want to have gentle abilties like group control and manage over the tasks to fulfill the deadlines. You will locate many statistics scientists with a bachelor's diploma in information and device gaining knowledge of however it isn't always a demand to research statistics technological know-how.
      This region of information generation claims to be one of the country's pinnacle-paid jobs. Annual pay is estimated at 8.2 lakh for an information scientist in India. The annual earnings are between 6 and 20 lakhs. In India, more than 40 thousand jobs are available withinside the place of information generation for one-of-a-type vocations. Great Learning offers India's best in information generation and artwork placements.
      With the proper qualifications, you’ll get satisfaction from a bright expert outlook as a knowledgeable soul. The name for humans with one's abilities can however grow, and people already in statistics generation roles are positive to examine their salaries increase in the future. Data scientists art work at durations in most important industries everywhere growth is occurring.
      This area has an entire lot of exciting artwork prospects. Many more youthful human beings pick to artwork in the one's fields withinside the future. Let's check some of the most vital Data Science hobby openings.
    • Data Analyst.
    • Statistician Business.
    • Analyst Database.
    • Administrator.
    • Data Engineer.
    • Data Scientist.

    Will Data Science calls for a coding background?

      You need to have very own understanding of numerous programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the maximum now no longer unusualplace cryptography language desired in statistics generation roles. These programming languages facilitate statistics scientists to set up unstructured statistics sets.6

    What competencies are implemented in a Data Science Training?

      One of the maximum important technical statistics soul competencies is performing math assessment and computing, mining, and method huge facts sets. This furthermore includes extracting the statistics that is perception valuable. Some facts scientists have a pH scale
    • Statistics
    • Programming Language R/ Python
    • Data Extraction, Transformation, and Loading
    • Data wrangle and facts Exploration
    • Machine Learning And Advanced Machine Learning (Deep Learning)

    What are the preconditions to studying Data Science Course in Berlin?

    • Python is a pc language that may be used to create programs. Python is the most well-known coding language I encounter in information generation professions, alongside Java, Perl, and C/C++.
    • Hadoop distribution platform.
    • Database and coding in SQL.
    • Apache Spark is abbreviated as Spark.
    • AI and devices studying are terms that can be used interchangeably.
    • Data visualization.
    • Unstructured information is information that has not been organized.

    Is Data Science Certification smooth to analyze?

      Data generation is an enormity, and within six months or one year, humans can not accumulate skills. The learning of information generation consists of technical knowledge together with easy programming knowledge and analytical device to begin. However, this Data Science route covers from beginning all vital topics, so that you may additionally result easily employ your new competencies.

    How will a Fresher begin a career in Data Science Online Certification?

    • Get relaxed with Python
    • Learn information analysis, manipulation, and visualization with pandas
    • Learn system learning with scikit-analyze
    • Understand system learning in more depth
    • Keep learning and act.
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    Data Science Certification Training in Berlin

    The Data Science course in Ireland will train you in Data Scientist skills such as AI and Deep Learning using TensorFlow, data visualisation, Machine Learning, and so on. Work on real-world projects and case studies while learning from industry experts. Our Data Science Training was created by a professional with over 12 years of experience. They will enable you to become a Certified Data Scientist with Big Data skills, assisting you in mastering various Data Science techniques such as running scripts, implementing the Bayes theorem, and so on.Register for the Data Science course with ACTE and begin your journey in the Data Science domain. Our Data Science Online Course is well-prepared with lab facilities and excellent infrastructure to provide you with real-time training experience. In addition, we provide Data Science Certification Training.

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    Key Features

    ACTE London offers Data Science Certification Training in more than 27+ branches with expert trainers. Here are the key features,
    • 40 Hours Course Duration
    • 100% Job Oriented Training
    • Industry Expert Faculties
    • Free Demo Class Available
    • Completed 500+ Batches
    • Certification Guidance

    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 .
     

    Syllabus of Data Science Course in Berlin

    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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    Hands-on Knowledge Data Science Training Projects In Berlin

    Project 1
    Hotel Recommendation System

    It recommends hotels to a user according to his desired destination and the purpose of the trip.

    Project 2
    Data Cleaning Project

    It is the method of fixing incorrect, incorrectly formatted, duplicate, or incomplete information among a dataset.

    Project 3
    Tweet Classification Project

    Tweet Classification Project helps to decide a category of a particular tweet when the user tweets.

    Project 4
    Stock Price Prediction

    The goal is to develop accurate stock value prediction system to predict the stock performance over a particular amount.

    Our Best Placement Partners

    ACTE Berlin offers placement opportunities is meant to provide applicants with hands-on PMP Training in Berlin the classroom or online to assist them gain industry exposure in understanding PMP platforms, techniques, and applications in order to construct and execute effective Coding campaigns.
    • We may hold negotiation discussions with varsity learners and transfer them to Face to Face Communication once they have completed 80 percent of the Training route material.
    • Professors advise students on how to improve their resumes in order to meet the requirements of today's employers.
    • We have a Professional Profession guide crew wing that helps learners get started based on their specific needs.
    • Following the training, the ACTE Placement Team hosts a Group Discussion on the topic, and exams and conferences are required to assess the Candidate's competence.
    • ACTE Placement is available to all learners who complete Our Certification Training at a higher level of online certification.
    • You will benefit not only from learning specific Training Certifications and the aforementioned principles, but you will also be linked with the best systems.
    • In a one-on-one or batch-clever research session, investigate a tool, its features, and all-powerful enterprises.
    • Accenture, Google, CTS, TCS, and other companies worked with ACTE nations on steeple teams. It improves our students' chances of succeeding in major multinational corporations.

    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

    Our Experienced Data Science Certification Trainers

    • ACTE Data Science Training Trainers have over ten years of Data Science experience and have worked for some of Ireland's largest corporations.
    • Our Trainers assess the Beginner's current ability level and develop intentions based on that information.
    • Our Institute has received numerous awards, including Best Online Training (National/Regional), Best Corporate Training Program (National/Regional), and others.
    • The Instructor assesses the progress of the novices and advises them on areas where they can improve.
    • ACTE tutors have exceptional organisational skills because they are constantly checking multiple schedules and are reliable in each topic.
    • Throughout the course, our Instructor may be required to assist Learners in gaining the main specialised issue area.
    • Our instructors are institutional leaders with at least ten years of experience who are constantly learning and growing as individuals.

    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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