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Data Science Certification Course in Irving

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  • Get Equipped with 11+ years of Certified Data Science Experts.
  • Learn the Several Extensive Data Science Concepts.
  • Most Unique Curriculum Outlined by Professional Data Science Tutors.
  • Support the candidates to get their Dream Job in Data Analytics.
  • Deals with 650+ Recruiting Clients for Providing the Best Interview Preparation Techniques.
  • Get Access for students Portal, Study Materials, Videos Lectures.
  • It’s a chance to Polish your career in Data Science – Enroll Your Name Now!

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29-Apr-2024
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24-Apr-2024
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27-Apr-2024
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Learn the Consequences of Data Science Training in Irving

  • This Data Science online course provides all the essential tools and knowledge necessary to become an accomplished Data Scientist.
  • Nearly 100% student satisfaction with over 300+ batches completed successfully.
  • Learn coding in Python and use it for statistical analysis, and get familiar with the mathematics of Machine Learning.
  • Get Trained from certified trainers from highly reputed multinational companies with over several years of experience in the industry.
  • Our trainers specialize in state-of-the-art Deep Learning frameworks like Google's TensorFlowDevelop, keeping you with the current trends of the job market.
  • We teach you how to apply these skills in real life through guided online practice sessions.
  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • Learning Concepts: Data Science, significance of Data Science in today’s digitally-driven world, components of the Data Science 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 COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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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 Irving?

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 Course in Irving

Data technological know-how is interdisciplinary Technology of clinical techniques, procedures, algorithms, and systems for the extraction of statistics or insights from the statistics that are similar to statistics mining in unique forms, organized or unstructured. Data Science Certification Course in Irving that offers you massive statistics of statistics technological expertise, assessment of statistics, project life cycle, acquisition of statistics, analytical methodologies, and tool training. Its assets had been measured withinside the field of technological expertise techniques, processes, algorithms, and systems to extract information or insights the use of statistics organized or unstructured, corresponding to statistics mining, in plenty of formats.

We understand however arduous changing careers may be. ACTE Applied AI/Machine Learning Courses area unit designed as entire mastering stories to assist your journey from the first effort to a different career. we tend to lower back it with a method assure in your peace of mind. All the concepts mentioned had been intuited from a necessary stage to a complicated stage with realistic implementation at every level of the route allowing every route player to know the capabilities no matter the history they arrive from


Additional Info

Introduction To Data Science:

Data technological know-how is an interdisciplinary region that uses scientific methods, processes, algorithms, and systems to extract understanding and insights from noisy, established, and unstructured statistics, and exercise understanding and actionable insights from statistics all through an extensive sort of software program domains. The data era is related to statistics mining, tool reading, and massive statistics.

Data era is a concept to unify statistics, statistics analysis, informatics, and their related methods" to "understand and look at actual phenomena with statistics. It uses techniques and theories drawn from many fields withinside the context of arithmetic, statistics, computer era, data era, and region understanding. However, the statistics era is not similar to the computer era and data era. Turing Award winner Jim Gray imagined the statistics era as a "fourth paradigm" of an era (empirical, theoretical, computational, and now statistics-driven) and asserted that "the whole thing about the era is changing because of the impact of data era" and the statistics deluge.

The data era is an interdisciplinary region focused on extracting understanding from statistics sets, which may be generally massive (see massive statistics), and using the understanding and actionable insights from statistics to solve problems in an intensive sort of software program domain. The region encompasses getting equipped with statistics for analysis, formulating statistics era problems, reading statistics, developing statistics-driven solutions, and offering findings to inform high-level picks in an extensive sort of software program domains. As such, it consists of skills from the computer era, statistics, data era, arithmetic, data visualization, statistics integration, picture design, complex systems, communique, and business.

Why do have to I look at a course in the data era?

Data Science nurtures trouble for glowing university college students who want to discover approximately data era and want to decorate their expert prospects to deliver awesome abilties. Data Science Certification Course in Irving offers the following in unique; Industry races aligned.

  • Online training make sure awesome involvement.
  • Expert jogging footwear may be well familiar with the topic.
  • A method to case studies that deeply examines the practical software of the principles.
  • Possibility to connect to a network of experts in the data era.
  • Guidance of career.
  • Feasibility of challenge artwork.
  • Programs Employed WIth DataScience:

  • Applied mathematics and statistics for R/Python/Java.
  • Hadoopand's artwork expertise Machine Learning & Neural Networks- SQL and NoSQL databases.
  • Expertise withinside the framework of profound mastering Keras, Pytorch TensorFlow.
  • Knowledge of progressive thought & business enterprise.
  • Visualizing Data.
  • Mining and assessment of statistics.
  • Mixing & Manipulation of Data.
  • Analysis and modeling of statistics.
  • Modeling predictive.
  • Data Analysis Python.

Industrial Trends In Data Analytics:

1. Yes, data and analytics are being transferred to the cloud:

At first, agencies rejected moving their data storage to the cloud. One hassle comes to be that the cloud comes to be designed for transactional reasons rather than for memory-demanding analyses. That's now not the case anymore. With the cloud generation faster, cleverer, and further adaptable, many agencies have moved their data warehouses withinside the cloud this 12 months or have been hybridized, i.e. using a cloud-based mixture and community warehouses.

2. Data and assessment are going to become greater democratic:-

Additional efforts are probably made to mix data systems smoothly, providing entire display boards for an organization. The self-company analytical equipment market may even preserve broadening. We are simply data quality in our age. As agencies begin to allow employees at exceptional tiers to check and look at the data from their workstations and/or handheld gadgets, the data have grown to be greater democratic. Today, undertakings use self-company industrial business enterprise intelligence (BI) models with advances in generation and computing.

3. More AI & ML, greater NLP automated:-

The categorization of data and modeling of data is probably greater automated. In turn, this may bring about even better and further accurate findings. It allows agencies to keep ahead of the competition at the same time as they can take in the market tendencies early on.

5. Landscape client knowledge Platform can keep it up developing:-

Customer knowledge systems (CDP) are extremely demanded, given the developing digitalisation that has been seen. A CDP may be a complicated knowledge hub, within which everything associated with knowledge converges from knowledge reasserts to knowledge for purchasers. In handling a whole each client inevitably departs withinside the came of the info. you furthermore may will what is more trace your footprints through manner of approach of surfboarding the net or interacting with firms on varied and offline channels, which contains Websites, eCommerce systems, and in-shop encounters.

Top exceptional varieties of knowledge Science Certifications:

Certified Analytics Professional(CAP):-

The Certified Analytics skilled may be a vendor-independent that confirms that you just ar capable "to expose complicated knowledge into valuable insights and actions," {this is this is often|this will be} exactly what agencies in knowledge scientists ar in search of someone with the understanding of {the knowledge the info|the information} can draw logical conclusions and supply a reason for the importance of those data components for key stakeholders. you wish to possess a glance at and satisfy distinctive conditions earlier than you're taking the CAP or the connected level NCAP tests.

Data Analyst for Cloudera Certified Associate:-

The Cloudera Certified Associate (CCA) knowledge Analyst indicates your capability to tug and generate Cloudera CDH opinions with Aepyceros melampus and Hive as a SQL developer. SQL's development skills can allow you to use knowledge scientists from the delivery to tug, model, manage, look at, and paint with constant.

Data Engineering Cloudera Certified skilled (CCP):-

As one of the foremost difficult and "demanding certificates of performance," Cloudera contains a Certified skilled (CCP) knowledge Engineer's Certificate. people who need to earn CCP knowledge Engineer got to have an enormous relish knowledge engineering.

Senior knowledge soul (SDS) on the yankee knowledge Science Council (DASCA):-

The knowledge Science Council of America (DaSCA) as Senior Data soul (SDS) software system program is meant for people at large with 5 or bigger years of analysis and assessment experience. Student statistics of databases, spreadsheets, applied mathematics analyses, SPSS/SAS, R, quantum techniques, and object-oriented programming foundations need to be established.

skilled knowledge Engineer Certification:-

  • The GCP Certification for Google skilled knowledge Engineer is sweet best for humans with strong statistics of the Google Cloud Platform and experience withinside the creation and manipulate of GCP-based solutions. The examination can explore your abilties to develop, create, stable, and placed into impact gadgets mastering models and systems for process knowledge.
  • The IBM knowledge Science skilled includes knowledge Science on-line courses, ASCII text file Instruments, knowledge era ways, pythons, databases and SQL systems, knowledge assessment, knowledge image, and final knowledge era capstones.

Duties of a Data Scientist:

1. Business Understanding:-

The data scientist's value to the organization isn't that applied mathematics modeling is also wont to develop a templet. a knowledge soul needs to draw in close to the needs of the organization and appearance at them to attain one's goals.

2. Passion:-

Data era is each design Associate in Nursingd an era. the info soul needs to possess a definition of the way an excellent answer appearance. There ar adequate media solutions. It needs endurance and determination to search out out the most effective option to the correct hassle.

3. Curiosity:-

The data era isn't Associate in Nursing ultra-modern field, however, discoveries ar created each twelve months. as a result of knowledge scientists unceasingly ar in search of attainable solutions to issues. This consists of searching for novel and most notable techniques of accumulating and merging knowledge, preprocessing and engineering functions, or developing models and developing their strolling times through manner of approach of blending software system program packages and hardware.

4. Innovation:-

Some of the costs within the knowledge era return from solutions no longer earlier then thought-about and enforced. The first-mover gain withinside the digital sector is actual and may create a company or break it off. several new industrial mercantilism models trust however well knowledge Associate in Nursingd assessment are often wont to generate an ultra-modern and distinctive model, thus knowledge scientists cannot repeat what has antecedently functioned. you wish to typically seek for the following essential component, that differentiates your supply from distinctive merchandise presently on the market.

5. Intuition:-

Although the arithmetic concerned in analytics is foundational and well-tried, victimization it to clear up distinctive industrial mercantilism problems is Associate in Nursing design kind, as expressed higher than. the info soul needs to possess the capability to differentiate tremendous from currently not-so-tremendous analytics.


Benfits OF Data Science:

The organizational significance of Data Science is constantly increasing. According to at least one have a look at, the worldwide Data Science marketplace is predicted to develop to $a hundred and fifteen billion through 2023. Some of the various Data Science advantages encompass the following:

  • In the healthcare industry, physicians use Data Science to research facts from wearable trackers to make sure their patients’ wellness and make crucial decisions. Data Science additionally allows health center managers to lessen ready time and beautify care.
  • Retailers use Data Science to beautify patron enjoy and retention.
  • Data Science is extensively used withinside the banking and finance sectors for fraud detection and personalised economic advice.
  • Transportation vendors use Data Science to beautify the transportation trips in their customers. For instance, Transport for London maps patron trips imparting personalised transportation details, and manages surprising situations the use of statistical facts.
  • Construction organizations use Data Science for higher selection making through monitoring activities, consisting of common time for finishing tasks, materials-primarily based totally expenses, and extra.
  • Data Science allows trapping and studying large facts from production processes, which has long gone untapped so far.
  • With Data Science, you'll examine large graphical facts, temporal facts, and geospatial facts to attract insights. It additionally enables in seismic interpretation and reservoir characterization.
  • Data Science enables corporations to leverage social media content material to acquire real-time media content material utilization patterns. This allows the corporations to create goal audience-particular content material, degree content material performance, and advocate on-call for content material.
  • Data Science enables have a look at software intake withinside the electricity and software domain. This have a look at permits for higher manage of software use and improved patron feedback.
  • Data Science packages withinside the public provider subject encompass health-associated studies, economic marketplace analysis, fraud detection, electricity exploration, environmental protection, and extra.

Scope For knowledge Science :

One of the great career opportunities withinside the educational knowledge Science coaching in Mount read. you may additionally to boot what is more explore knowledge Science with bigger opportunities. With Python, R, or SQL a candidate can also what is more explore knowledge Science. Since the info era may be a severa career, there ar varied career prospects withinside the market. Upon completion of the info era course, the principle system profiles ar as follows,

  • Data soul
  • Data Analyst
  • Data Engineer
  • Data people
  • Creative for knowledge
  • Data Developers
  • Data scientist

PayScale of knowledge Scientist:

The Average PayRange of a knowledge soul may well be around $575, cardinal to $652,656 constant with year. relying upon your abilties and revel in the profits package changes. The scope of the info soul can develop vastly withinside the long run and also the call for knowledge Scientists goes to be strong. to appear at the info Science on-line Certification Course professionally and acquire the required active skills to qualify yourself as a knowledge soul.

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Data Science Course Key Features

ACTE Irving offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,

  • One-on-one Doubt Clearance
  • Guaranteed Course Completion
  • Suitable for Beginners & Intermediate
  • Live training with Industry Professionals
  • Completed 500+ Batches
  • Resume Building & Job Orientation Training

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 and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Data Science Course in Irving
Module 1: Introduction to Data Science
  • What is Data Science, the significance of Data Science in today’s digitally-driven world, applications of Data Science, elements 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 easy mathematical operations and logic victimization R operators, loops, if statements, and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, commerce, and commercialism data to/from external sources, what is data exploratory analysis, data commerce, data frames, operating with data frames, accessing individual components, vectors and factors, operators, in-built functions, conditional, process statements and user-defined functions, matrix, list, and array.
  • Hands-on Exercise -Accessing individual components of client churn data, modifying and extracting the results from the dataset victimization user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to duly package, choosing 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_fn(), sample_frac() & count() functions, obtaining summarized results with the summarize() function, Combining totally different functions with the pipe operator, Implementing sql like operations with self.
  • Hands-on Exercise -Implementing punctually to perform numerous operations for abstracting over however data is manipulated and stored.

Module 4: Data Visualization
  • Introduction to visualization, differing types of graphs, Introduction to synchronic linguistics of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), creating a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, variable distribution, Bar-plots for categorical variables victimization geom_bar(), adding themes with the theme() layer, visualization with portly package & building web applications with shiny R, 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 gives package, geographic visualization with ggmap(), building web applications with shiny R.
  • Hands-on Exercise -Creating data visualization to know the client churn ratio using charts using ggplot2, Portly for importing and analyzing data into grids. You'll visualize tenure, monthly charges, total charges and alternative individual columns by victimization the scatter plot.
Module 5: Introduction to Statistics
  • Why do we want Statistics?, Categories of Statistics, Statistical applied 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 applied 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, ideas 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 match 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 straight forwarding linear model, predicting outline 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 link at intervals within the data using linear predictor functions. Implementing Linear & provision Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple freelance variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit operate function and odds, Bi-variate logistic Regression, Poisson Regression, building straightforward “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold analysis 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 providing Logistic Regression.
  • Hands-on Exercise -Implementing prognosticative analytics by describing the data and explaining the relationship between one dependent binary variable and one or a lot of binary variables. You'll use glm() to create a model and use ‘Churn’ as the dependent variable. Module 8: Decision Trees & Random Forest
Module 8: Decision Trees & Random Forest
  • What is classification and totally 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 Naïve Bayes, Computing Possibilities, Impurity Function – Entropy, understand the ideas 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, realize 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’ because of the dependent variable and build a Random Forest with the proper of trees, victimization ROCR for performance metrics.
Module 9: Unsupervised learning
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriority algorithm & implementing it in R, Introduction to Recommendation Engine, user-based cooperative filtering & Item-Based Cooperative 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 fascinating discoveries.
  • 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, parts of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series statistic in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series of statistic data, sequence of statistic measurements that follow a non-random order to identify the nature of development and to forecast the future run values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification treatment using SVM, SVM Algorithms using mistreatment Separable and Inseparable cases, Linear SVM for characteristics margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What's Naïve Bayes Classifier, Classification Workflow, However Naïve Bayes classifier works, Classifier building in Simit-learn, building a probabilistic classification model using Naïve Bayes, Zero chance drawback Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to ideas 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 related to the modeling technique of Market Basket Analysis wherever you'll study about loading of data, numerous techniques for plotting the things and running the algorithms. It includes checking out what are the items that go hand in hand and thence will be clubbed together. This can be used for various real world eventualities like a supermarket shopping cart and so on.
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Get Hands-on Knowledge about Real-Time Data Science Projects

Project 1
Fake News Detection

The goal of this project is to create a real-time machine learning model determine the legitimacy of social media news.

Project 2
Forest Fire Prediction

To deal with such a calamity, a large sum of money must be spent on infrastructure, as well as control and handling.

Project 3
Road Lane Line Detection

In this project, lines placed on the road provide lane detection instructions to a human driver and detections.

Project 4
Driver Drowsiness Detection

The major goal of this project is to detect when a driver may become tired and fall asleep while driving.

Our Recruiting Partner for Placements

ACTE Irving 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 a dedicated Placement support team that provides the necessities of Learners on Hiring.
  • After completing the Data science Online Course, we will organize the interview calls to students & prepare them for F2F synergy.
  • We are associated with TOP IT resistant companies like HCL, Wipro, Dell, HP, Accenture, Google, CTS, TCS, IBM, etc. It makes us fit to put our applicants in top MNCs across the globe.
  • Data Science Trainers assist students in developing their resume matching the current industry needs
  • Trainers instruct the students in developing their skills matching the present enterprise essentials.
  • We will schedule Mock Exams and Mock Interviews to upskill the candidates' knowledge.

Get Certified in Data Science with Industry Recognized ACTE Certificate

ACTE Data Science Training Certificate is authorized by all Worldwide Organizations and all over the globe. After completion of the entire program will provide the certificates for both the candidates and the professional instructors. Our trainers helped the candidates to get certified the other certification like CCA and CCP are the top-level proving your advanced skills and deep knowledge of Machine Learning. ACTE Data Science Certification will enhance the significance of your resume. It will lead you to a wide range of opportunities in your Career Path. This Certificate will help you to adopt new skills in the development of advanced concepts of Data Science.

Our ACTE Instructors will help the students to grab the knowledge on Other Data Science Programming and trained them to get other certification which is listed below:

  • Dell EMC Proven Professional Certification Program
  • Certified Analytics Professional
  • SAS Academy for Data Science
  • Microsoft Certified Solutions Expert
  • Cloudera Certified Associate
  • Cloudera Certified Professional - CCP Data Engineer
  • Data Science Certificate
  • Amazon AWS Big Data Certification
  • Oracle Certified Business Intelligence

  • Knowing a few algorithms well is better than knowing about many algorithms and linear regression, k-means clustering, and logistic regression well, can explain and interpret their results.
  • Most of the time, once you use associate degree formula, it'll be a version from a library. You’ll rarely be implementations SVM concepts.
  • Adopt a resource from good study books and e-learning methods according to your exam preparation.
  • Join Our ACTE Data Science Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for the certification exam.

With Data Science Training certificate you will hire for the following jobs:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager

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

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About Qualified Data Science Instructor

  • Our Data Science Training in Irving have certified professionals with 9+ years of experience currently working employees with organizations like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • The trainers demonstrate many live projects for the training candidates during their training sessions.
  • Tutors will insist the candidates get placed in their respective companies through Employee referral or Internal Hiring Process.
  • Our ACTE tutors are industry-experts and subject specialists who have mastered running applications Providing to them
  • Our Mentors provide our learners with valuable insights into Interview scenarios and questions, as well as thorough Interview preparation and Soft Skills in Best Data Science Certification in Irving to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in Irving from recognized IT industries.

Data Science Course Reviews

Our ACTE Irving Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Nandhini

Student

ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.

Suresh Kumar

Software Engineer

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Data Science course in Irving and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible

Ebenazar

Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.

Illakiya

Student

ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.

Tharani

Software Engineer

Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Data Science Course FAQs

Looking for great Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE training institute 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.
  • We have 85% percent of 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 and National Institute of Education (NIE) Singapore
  • The entire Data Science training has been built around Real Time Implementation according to the Corporate firms.
  • 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 Course At ACTE?

  • Data Science Course in ACTE is designed & conducted by Data Science experts with 10+ years of experience in the Data Science 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 National Institute of Education (NIE), Singapore.
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 batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science. 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 93800 99996 / 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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