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Data Science Certification Training in Cairo

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  • Beginner & Advanced level Classes.
  • Hands-On Learning in Data Science Certification .
  • Best Practice for interview Preparation Techniques in Data Science Certification .
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Data Science Certification Expert.
  • Delivered by 9+ years of Data Science Certification Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Data Science Certification Batch to Begin this week – Enroll Your Name Now!

Fee INR 18000

INR 14000

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Training

  • 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

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM Data Science Certification Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • 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, 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!
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09-Dec-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

11-Dec-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

14-Dec-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

15-Dec-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    Course Objectives

    The potential for quantum computing and data science is big within the future. Machine Learning may also method the data abundant quicker with its accelerated learning and advanced capabilities. supported this, the time needed for finding advanced issues is considerably reduced. The role of the data scientist is currently a buzzworthy career. It's standing within the marketplace and provides opportunities for folks that study data science to create valuable contributions to their firms and societies at giant.

    Big data. Data scientists shrewdness to use their skills in maths, statistics, programming, and alternative connected subjects to prepare giant information sets. Then, they apply their knowledge to uncover solutions hidden within the information require on business challenges and goals. Data science is high in demand and explains however digital information is remodeling businesses and serving to them create chiseler and significant selections. therefore digital data is everywhere for folks that are trying to figure as a data scientist.

    • Get comfy with Python
    • Learn information analysis, manipulation, and visualization with pandas
    • Learn machine learning with scikit-learn
    • Understand machine learning in additional depth
    • Keep learning and active
    With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.
    Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.
    The various edges of Data Science are as follows:
    • The abundance of Positions
    • An extremely Paid Career
    • Data Science is flexible
    • Data Science Makes information higher
    • Data scientists are extremely Prestigious
    • Apache Spark
    • BigML
    • D3 MATLAB
    • Excel
    • ggplot2

    What are the purposes of the Data Science Certification?

    The key objective of Data Science is to extract valuable data to be used in the strategic higher cognitive process, development, analytic thinking, and statement. The key techniques in use are data processing, huge data analysis, data extraction, and data retrieval. The purpose of data science is to create the means for extracting business-focused penetrations from data. This requires an understanding of however worth and data flows in an extremely business, and therefore the ability to use that understanding to find business opportunities.

    What skills are utilized in a Data Science Online Training in Cairo?

    One of the foremost necessary technical knowledge soul skills is applied math analysis and computing, mining, and process big data sets. This additionally includes extracting the info that's thought valuable. Some information scientists have a pH scale
    • Statistics
    • Programming Language R/ Python
    • Data Extraction, Transformation, and Loading
    • Data wrangle and information Exploration
    • Machine Learning And Advanced Machine Learning (Deep Learning)

    What are the job opportunities after completing the Data Science Certification Course?

    To name many, a number of the foremost common job titles for information scientists include:
    • Business analyst
    • Data Mining Engineer
    • Data designer
    • Data Scientist
    • Senior Data Scientist

    What are the requirements for learning Data Science Certification?

    Data science requires the basics of statistics and mathematics, which should be clear to be able to analyze the problems that are at hand. To solve business problems, you need to have soft skills like team management and control over the projects to meet the deadlines. You will find many data scientists with a bachelor's degree in statistics and machine learning but it is not a requirement to learn data science

    Will Data Science requires coding background?

    You need to possess knowledge of different programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the foremost common cryptography language needed in data science roles. These programming languages facilitate data scientists to organize unstructured data sets.6
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    Overview of Data Science Certification Training in Cairo

    Data Science is interdisciplinary Innovation of sensible techniques, procedures, estimations, and developments for the extraction of information or pieces of information from the information this is contrasting with information mining in extraordinary constructions, prepared or unstructured. Information Science Training in Cairo that gives you immense information of information creative expertise, evaluation of information, mission lifestyles cycle, acquiring of information, shrewd techniques, and device planning. Its sources have been assessed withinside the discipline of mechanical capacity strategies, cycles, estimations, and plans to remove Data or pieces of information the usage of information orchestrated or unstructured, for all intents and purposes indistinguishable from information mining, in lots of setups.

    Additional Info

    What Is Data Science:

    Data science Training in Cairo is a discipline that joins space information, programming capacities, and math and measurements information to remove valuable experiences from the information. AI calculations are utilized in numbers, text, photographs, video, sound, and different information to make computerized reasoning (AI) frameworks that can execute occupations that would typically require human knowledge. Therefore, these frameworks produce bits of knowledge that experts and business clients might utilize to make significant business value.

    Even for firms with close boundless assets, increasing information science endeavors is intense. The DataRobot AI Cloud Platform upsets information science and AI by enabling investigators, business clients, and other specialized specialists to become Citizen Data Scientists and AI Engineers, just as expanding the usefulness of information researchers. It computerizes tedious displaying measures that used to take up most of information researchers' time and consideration. DataRobot makes venture AI more available than any other time in recent memory by overcoming any barrier between information researchers and the remainder of the organization.

    Why should I examine a way in Data Science?

    Data Science support issue for sparkling students who need to investigate Data development and need to work on their master prospects to supply first-class capacity. Information Science Affirmation Course in Cairo gives the subsequent in particular;

    • Industry races aligned.
    • Online classes make specific first rate involvement.
    • Expert running shoes can be well acquainted with the topic.
    • An approach to manage case research that significantly reviews the reasonable utilization of the principles.
    • Possibility to connect with a neighborhood specialists in Data Science.
    • Guidance of profession.
    • Feasibility of undertaking paintings.

    Machine Dialects Utilized In Data Science:

    • Applied math and real factors for R/Python/Java.
    • Hadoopand's masterpieces aptitude AI and Neural Organizations: SQL and NoSQL databases.
    • Expertise withinside the construction of huge procuring Data on Keras, Pytorch TensorFlow.
    • Knowledge of imaginative thought and enterprise.
    • Visualizing Data.
    • Mining and evaluation of statistics.
    • Mixing and Control of Data.
    • Analysis and exhibiting of facts.
    • Modeling predictive.
    • Data Examination Python.

    Industrial Advancements In Data Science:

    1. To be sure, the cloud is being moved from Data and assessment:-

    At first, affiliations excused moving their Data garage to the cloud. One issue become that the cloud becomes expected for esteem-based aims instead of for memory-focusing on examinations. That is as of now false any longer anymore. With the cloud time faster, cleverer, and extra adaptable, various affiliations have moved their Data circulation focuses withinside the cloud this yr or had been hybridized, for instance, the usage of a cloud-essentially based aggregate and neighborhood warehouses.

    2. Information and appraisal will create to be additional reasonable:-

    Extra undertakings might be made to join Data structures easily, presenting absolute show conversations for an organization. The self-provider savvy stuff business focus can even keep on extending. We are essentially Data-flawless in our age. As affiliations permit staff at tip-top degrees to test and view the Data from their workstations just as hand-held contraptions, the Data have become extra. Today, attempts use self-provider undertaking information (BI) plans with pushes on schedule and computing.

    3. More recreated knowledge and ML, extra NLP robotized:-

    The arrangement of Data and exhibiting of Data might be extra modernized. Along these lines, this can bring about fundamentally higher and additional right revelations. It works with relationship to stay aware of early of the opposition while they can ingest the business place headways early on.

    4. Customer Personalization Will Affirm Driver's Seat Purchasers:-

    In Data advancement, undertaking components are before long being patched up. In the going with yr, we can see extra affiliations work in giving their purchasers a completely individualized revel in at the ideal chance at some stage in a customer's shopping venture. With creating digitalization, obviously, client personalization wishes to be canvassed in an association framework. You need to meet wherein your customers are. To reasonably alter your token, you need a "Redid Client Experience Plan" essentially reliant upon Data. Taking everything into account, a "secured" customer is a cheerful consumer.

    5. Scene Client Data Stage will stay aware of on creating:-

    Client Data structures (CDP) had been enormously mentioned, given the creating digitalization that has been seen. A CDP is a jumbled Data community point, wherein the whole thing related to Data joins from Data reasserts to Data for customers. In adjusting to a badge each buyer unavoidably pulls out rearward of the Data. You can in like manner besides demonstrate your impressions through the technique for a strategy for scrutinizing the Web or connecting with associations on various and separated channels, which consolidates Sites, Web-based business structures, and in-save encounters.

    Top prohibitive sorts of Data Science Certifications:

    • Certified Examination Professional(CAP):-

      The Ensured Investigation Proficient is a merchant fair-minded that asserts which you are capable "to show jumbled Data into valued pieces of information and exercises," that is all around what relationship in Data Scientists are searching for someone with a capacity of the Data can make real judgments and give an explanation to the significance of those Data factors for key accomplices. You need to see and fulfill explicit conditions sooner than you're taking the CAP or the connected stage NCAP tests.

    • Data Examiner for Cloudera Guaranteed Partner:-

      The Cloudera Confirmed Partner (CCA) Data Investigator proposes your helpfulness to drag and make Cloudera CDH studies with Impala and Hive as a SQL originator. SQL's improvement limits will permit you to use Data Scientists from the store to drag, model, regulate, investigate, and paint with the same.

    • Data Designing Cloudera Guaranteed Proficient (CCP):-

      As one of the best focusing and "focusing on validation of execution," Cloudera has an Affirmed Proficient (CCP) Data Architect's Endorsement. Individuals who need to gain CCP Data Architect need to have sizeable revel in Data engineering.

    • Senior Data Scienctist (SDS) at the American Data Science Board (DASCA):-

      The Data Science Board of America (DaSCA) as Senior Data Scientist (SDS) writing computer programs is planned for people with 5 or extra extensive stretches of studies and appraisal ability. Understudy information of Databases, bookkeeping pages, quantifiable examinations, SPSS/SAS, R, quantum frameworks, a thing orientated programming foundations ought to be established.

    • Google Proficient Data Architect Confirmation:-

      The GCP Accreditation for Proficient Data Architect Training is quality ideal for individuals with strong information of the Google Cloud Stage and ability withinside the show and control of GCP-basically based answers. The test will examine your capacities to broaden, make, stable, and put into sway contraptions getting to know plans and developments for planning Data.

    • Data Science Proficient Declaration:-

      The Data Science Proficient involves Data Science Online Certification, Open-Source Instruments, Data advancement techniques, pythons, informational collections and SQL structures, Data appraisal, Data portrayal, and outright last Data development capstones.

    Functions of a Data Scientist:

    1. Business Understanding:-

    The Data Science Training cost to the venture isn't that quantifiable exhibiting can be used to broaden an organization. A Certified Data Science Engineer needs to incline toward the prerequisites of the association and review them to reap one's goals.

    2. Energy:-

    Data development is each a masterpiece and an advancement. The Data Scientist needs to have a structure of the way in which a superb answer looks. There are copious media answers. It calls for vigor and the objective to track down a reasonable decision to the suitable issue.

    3. Interest:-

    Data advancement is most certainly not a sparkling new field, regardless, divulgences are made each yr. Since Data Scientists persistently are searching for the promising situation answers to issues. This fuses looking out novel and most extraordinary frameworks of amassing and merging Data, preprocessing and planning limits, or creating styles and fostering their running events through strategy for a technique for joining programming programs and hardware.

    4. Advancement:-

    A part of the charges in Data development come from answers now not sooner than contemplated and executed. The essential mover advantage withinside the virtual quarter is valid and may make an association or obliterate it off. Various new advertisement adventure plans rely on how agreeably Data Training and appraisal may be used to deliver an unblemished and explicit model, accordingly Data Scientists can't reiterate what has once worked. You need to diligently pursue the going with key part, which isolates your give from the different items at present at the marketplace.

    5. Sense:-

    Albeit the math pushed in the examination is essential and illustrated, the usage of it to decide explicit undertaking burdens is an artistic work structure, as suggested previously. The Data Scientist need to can isolate the top type from now no more so-extraordinary analytics.

    Future Extent Of Data Science :

      One of the qualities calling possibilities withinside the Learning Data Science Preparing in Cairo. You may likewise check out Data Science with extra expected results. With Python, R, or SQL a contender can in like manner additionally take a gander at Data Science. Since Data development is a different calling, there are different calling prospects in the marketplace.

      Upon appointed brightness of the Data development way, the major cycle profiles are as follows,

    • Data Scientist
    • Data Analyst
    • Data Engineer
    • Data Businesspeople
    • Creative for Data
    • Data Developers
    • Data Scienctist

    PayScale Of Data Scienctist:

    The Normal PayRange of a Data Scientist will be around $675,54 to $752,656 consistent with annum. Dependent upon your capacities and revel in the compensation bunch changes. The degree of Data Science Course will grow hugely with inside fate and the call for Data Scientists goes to be incredible. To take a gander at the Data Science Online Accreditation Course expertly and get the foreordained involved abilities to qualify yourself as a Data Scientist.

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    Key Features

    ACTE Cairo 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 .
     

    Curriculum

    Syllabus of Data Science Certification Course in Cairo
    Module 1: Introduction to Data Science Certification with R
    • What is Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, applications of Data Science Certification , lifecycle of Data Science Certification , components of the Data Science Certification 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

    Our Top Hiring Partner for Placements

    ACTE Cairo offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% Data Science Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • Data Science Certification Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    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 Certification Trainer

    • Our Data Science Certification Training in Cairo. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are Data Science Certification domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Certification training to the students.
    • We have received various prestigious awards for Data Science Certification Training in Cairo from recognized IT organizations.

    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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