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Data Science Certification Training in Cape Town

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  • From Scratch through Classes in Advanced Level.
  • Data Science Learning Nominal Cost Training.
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  • Data Science Certified Expert. 15402+ Trained Students, Delivered over 13+ Years.
  • Fulfillment Certificate from the Data Science Expert Company Recognized in the Industry.
  • 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

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Gain the Best Practices On live Projects in Data Science Course in Cape Town

  • Professional advancement Individuals and professionals pursue IT certifications for a variety of reasons, the most common of which are improved remuneration and skill validation. We provide certification in the most cutting-edge and creative technologies to assist you in achieving your certification objectives.
  • With ACTE, you will be able to perfect the latest technology. One of the most in-demand skillsets in the business is data science. we will help you to pave the way for your career in MNC's. by providing adequate support and hands-on instruction on the Data Science course.
  • Join us today to get the best Data Science training in Cape Town and start impressing your recruiters with your exceptional skills.
  • This training provided by ACTE also introduces a conceptual understanding of topics such as statistics, exploration, and deep learning algorithms.
  • The training offered in our institute will provide 100% practical that ensures the best experience transfer.
  • The placement team helps you to crack the interviews and guides you to successful career growth.
  • We offer you the most trending courses that are demanded by the IT industry and satisfy their needs.
  • 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, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning.
  • 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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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

10-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

12-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

08-Feb-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

09-Feb-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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    Most Job Oriented Tools Covered in Data Science Training in Cape Town

    Course Objectives

    Data Science is a famous programming language for standard games that are tended to by analysts and is one of the organization's key insights innovative apparatuses. Data Science is oftentimes the best option for analysts who need to join measurable code into assembling frameworks or associate insights to electronic applications. It's likewise reasonable for the advancement of calculations, which is something that most analysts want to do.
    • Acquire a top to bottom comprehension of Data construction and Data control.
    • Comprehend and utilize direct and non-straight relapse models and grouping strategies for Data examination.
    • Get a top to bottom comprehension of administered and unaided learning models like straight relapse, calculated relapse, grouping, dimensionality decrease, K-NN, and pipeline .
    • Perform logical and specialized processing utilizing the SciPy bundle and its sub-bundles like Integrate, Optimize, Statistics, IO, and Weave .
    • Acquire aptitude in numerical processing utilizing the NumPy and Scikit-Learn bundles
    The above all else prerequisite to learn Data Science (inside a month or not) is Data on coding and somewhat master productivity in some other programming language like C, C++, C#, Java, and so forth In the event that you have a serviceable Data on any of these dialects, you can learn Data it in a month.
    • Libraries Of Python
    • R language
    • Numpy
    • Algorithms
    • Relapse and Classifications
    • Cluster
    • Web scratching
    There are numerous chances for handling a decent, and lucrative vocation, being a Certified Data Scientist proficient in different firms. It develops validity, which will assist you with filling in your profession. Data Science straightforwardly associates with engineers similarly as clients, furnishing an interface with accomplices and specialized administration. Data Science is one of the most incredible innovations to foster your professional development which has high extension later on.
    • Investigation Managers
    • IT Professionals
    • Business Analysts
    • Banking and Finance Professionals
    • Showcasing Managers
    • Production Network Managers
    • Fledglings or Recent Graduates in Bachelors or Master's Degree
      This Data Science accreditation preparation gives active openness to key advances including, python, Machine Learning, Tableau, Hadoop, and Spark by means of live communication with professionals, useful labs, and industry projects. This Data Science course as a team with IBM will make understudies industry prepared for Artificial Intelligence and Data Science work jobs.

    Is Data Science has a Demand in Future?

    Data Science is an interdisciplinary region that uses clinical methods, cycles, computations, and progressions to segregate inclination and pieces of Data from violent, set up, and unstructured certifiable factors, and practice capacity and essential encounters from authentic factors all through a wide arrangement of programming regions. Data progress is related to certified factors mining, contraption considering, and enormous facts.

    What are the Tools associated with Data Science?

    • Scene
    • TensorFlow
    • BigML
    • Knime
    • RapidMiner
    • MongoDB
    • R
    • Trifacta
    • Minitab

    Why Data Science Online Certification with ACTE?

    This Data Science course by ACTE will take your excursion from the essentials of R to investigating straightforward and complex datasets lastly to prescient examination and models improvement. In this Data Science utilizing course, you will figure out how to get ready Data for examination, perform complex factual investigations, make significant Data representations, foresee future patterns from Data, foster AI and profound learning models, and that's just the beginning.

    What is the Demand for Data Science in Various Firms?

    The interest for Data Science programming experts has flooded, making this course appropriate for members at all degrees of involvement. This Data Science is useful for investigation experts willing to work, Software, and IT experts keen on the field of examination, and anybody with a veritable premium in Data Science.

    How much does a Data Science Engineer Makes on average?

    Data Science doesn't gather a similar measure of media consideration when contrasted with Data researchers, yet their normal compensation will in general be higher than the Data researcher's normal. The most significant pay for a Data Science Engineer is $17,77,87 each year. The most minimal compensation for a Data Science Engineer in India is $5,00,000 each year.
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    Data Science Certification Training in Cape Town

    ACTE offers Data Science Training with Python in Cape Town. The Data Science with Python Certification in Cape Town was developed in collaboration with industry experts. We did this because ACTE wanted to incorporate themes and practises that are commonly used and in demand in business – and to do so with the help of pedagogy that is used across universities. As a result, ACTE graduates are more job-ready, and this course serves as the foundation for your Data Science career. In collaboration with IIT Madras, our Data Science course provides live instructor-led sessions to help you prepare for a career as a Data Scientist.Data Scientists are among the highest-paid and most in-demand specialists. Python programming, machine learning, and other topics are covered in our comprehensive Data Science programme. At the end of this online Data Science Training, you will work on real-time capstone projects.

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    Key Features

    ACTE Cape TownUSA 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 Cape Town

    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 Real-Time Data Science Certification Projects

    Project 1
    Product Price Suggestions

    Accurate forecasting helps people plan, decreasing the effects on health and the costs associated.

    Project 2
    Crime Analysis

    This project gives an overview of crime time analysis on a particular website.

    Project 3
    Data Collection Project

    It is the process of gathering information on variables in an established systematic fashion that enables one to answer stated research questions.

    Project 4
    Data Modelling Project

    Data modeling refers to the process of using artificial intelligence to create different models to select and showcase data from a set.

    Our Best Placement Partners

    ACTE Cape Town offers placement opportunities is meant to provide applicants with hands-on PMP Training in Cape Town 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 participate in consultation sessions with university students and transfer them to Face to Face Information after completing 50% of the Training range.
    • Trainers teach students how to improve their resumes so that they can meet the needs of today's employers.
    • Accenture, Google, CTS, TCS, and other firms worked with ACTE countries on steeple teams.
    • It increases the chances of our students' success in large global corporations.
    • We have a Recognized Education guide crew wing that assists learners in getting started based on their specific needs.
    • Following training, the ACTE Placement Team conducts a Group Discussion on the subject, as well as evaluations and conferences, to assess the Candidate's proficiency.
    • 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 obtaining specialised Training Certifications and the aforementioned concepts, but also from being associated with the best systems.
    • ACTE surprises our students with a Group Discussion at the end of the Training Section.

    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 should have more than ten years of experience in data science and should have worked with some of the most well-known companies.
    • Our Trainers assess the Beginner's current level of expertise and set goals based on that information.
    • Several awards have been bestowed upon our Institute, including Best Online Training (National/Regional), Best Corporate Training Program (National/Regional), and others.
    • The Instructor evaluates the beginners' progress and advises them on areas where they can improve.
    • ACTE Tutors have exceptional organisational skills and are trustworthy in all areas because they are constantly checking multiple timetables.
    • Our Trainer is expected to assist students in completing the major Specialization difficulty area through our programme.

    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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