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Data Science Certification Course in Kansas City

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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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$ 18000

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$ 22000

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01-Apr-2024
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(Class 1Hr - 1:30Hrs) / Per Session

27-Mar-2024
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(Class 1Hr - 1:30Hrs) / Per Session

30-Mar-2024
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(Class 3hr - 3:30Hrs) / Per Session

30-Mar-2024
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Learn the Consequences of Data Science Course in Kansas City

  • 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 Kansas City?

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 Course in Kansas City

Data technological knowledge is an interdisciplinary branch of scientific techniques, procedures, algorithms, and systems for the extraction of knowledge or insights from records that are similar to records mining in top-notch forms, organized or unstructured. This is an ACTE Data Science Training in Kansas City that offers you sizeable knowledge of records technological knowledge, assessment of records, challenges life cycle, acquisition of records, analytical methodologies, and tool education. Its property has been measured withinside the place of technological knowledge techniques, processes, algorithms, and systems to extract statistics or insights the use of records organized or unstructured, similar to records mining, in masses of formats.


Additional Info

Introduction Data Science Course in Kansas City :

    Why ought to I examine a direction in statistics technological know-how ?

    ACTE is a Data Science education employer for smooth university college students who want to discover approximately records technological knowledge and want to beautify their expert possibilities to deliver pinnacle-notch education and skill. ACTE offers the following in particular;

  • Industry races aligned.
  • Online training makes certain pinnacle-notch involvement.
  • Expert strolling footwear that is probably properly familiar with the topic.
  • An approach to case studies that deeply examines the practical software program of the principles.
  • Possibility to hook up with a network of experts in records technological knowledge.
  • Guidance of career.
  • Feasibility of challenge Work.

  • Top Five Developments In Statistics Analytics:

    1. Yes, the cloud is being moved from statistics and analytics:-

    At first, organizations rejected shifting their records storage to the cloud. One hassle ends up that the cloud ends up designed for transactional reasons in place of memory-traumatic analyses. That's now not the case anymore. With the cloud technology faster, cleverer, and extra adaptable, many corporations have moved their records warehouses withinside the cloud this twelve months or had been hybridized, i.e. the use of a cloud-based aggregate and community warehouses.

    2. Data and evaluation are going to emerge as greater democratic:-

    Additional efforts are probably made to mix records systems smoothly, presenting entire display boards for an enterprise. The self-issuer analytical equipment market may also keep increasing. We are genuinely records-nice in our age. As corporations begin to allow employees at top-notch tiers to test and study the records from their workstations and/or hand-held gadgets, the records have emerged as extra democratic. Today, undertakings use self-issuer industrial corporation intelligence (BI) models with advances in technology and computing.

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

    The categorization of records and modeling of records is probably extra automated. In turn, this could motive even better and extra accurate findings. It lets organizations preserve earlier of the competition even as they might take in the market traits early on.

    4. Customer Personalization Will Confirm Driver's Seat Consumers:-

    In records, technological knowledge industrial corporation dynamics are currently being rewritten. In the following twelve months, we can see extra organizations focusing on presenting their clients with a very individualized enjoy at the proper time in some unspecified time in the future of a customer's buying voyage. With developing digitalization, it's miles apparent that consumer personalization needs to be covered in an employer strategy. You want to satisfy with who your clients are. To efficiently customize your emblem, you need a "Personalized Customer Experience Plan" based mostly on records. After all, an "engaged" consumer is a satisfied consumer.

    5. Landscape Customer Data Platform will maintain on growing:-

    Customer records systems (CDP) had been enormously demanded, given the developing digitalization that has been seen. A CDP is a complex records hub, in which the entirety associated with records converges from records reasserts to statistics for clients. In managing an emblem every consumer necessarily departs withinside the returned of the statistics. You may additionally trace your footprints with the resource of the usage of surfing the Internet or interacting with organizations on numerous online and offline channels, inclusive of Websites, eCommerce systems, and in-maintain encounters.


    Top exceptional varieties of Data Science Certifications:

    • Certified Analytics Professional(CAP):-
    • The Certified Analytics Professional is a vendor-independent certification that confirms that you are capable "to reveal complex statistics into precious insights and actions," it's precisely what organizations in records scientists are attempting to find: a person with records of the statistics can draw logical conclusions and explain the importance of these records elements for key stakeholders. You have to observe and satisfy precise conditions in advance than you take the CAP or the related diploma NCAP tests

    • Data Analyst for Cloudera Certified Associate:-
    • The certification of Cloudera Certified Associate (CCA) Data Analyst shows Data Science Course in Kansas City your capability to tug and generate Cloudera CDH evaluations with Impala and Hive as a SQL developer. SQL's development competencies permit you to use records scientists of the performance to tug, shape, manage, study, and paint with the equal.

    • Data Engineering Cloudera Certified Professional (CCP):-
    • As one of the most traumatic and "traumatic certificates of performance," Cloudera has a Certified Professional (CCP) Data Engineer's Certificate. Those who want to earn CCP Data Engineer certification need to have sizeable enjoy records engineering.

    • Senior Data Scientist (SDS) at the American Data Science Council (DASCA):-
    • The Data Science Council of America (DaSCA) Certification Senior Data Scientist (SDS) utility is designed for human beings with five or extra years of research and assessment know-how. Student knowledge of databases, spreadsheets, statistical analyses, SPSS/SAS, R, quantum techniques, and object-oriented programming foundations need to be established.

    • Google Professional Data Engineer Certification:-
    • The GCP Certification for Google Professional Data Engineer is extraordinary best for humans with strong knowledge of the Google Cloud Platform and know-how withinside the advent and management of GCP-based solutions. The examination will study your skills to increase, create, steady, and positioned into impact gadgets analyzing models and systems for processing records.

    • IBM Data Science Professional Certificate:-
    • The IBM Data Science Professional Certificates encompass Data Science Online courses, Open-Source Instruments, records technological knowledge methods, pythons, databases and SQL systems, records assessment, records visualization, tool education, and final records technological knowledge capstones.


    Career Growth Of Data Science Professional Certification Training:

    ACTE records technological knowledge and facts degree software program has the advantage of starting a Certification route in which there are extra open jobs than licensed candidates to fill them. As the Harvard Business Review states, “the lack of records scientists is becoming an essential constraint in some sectors.” What’s extra, because of the reality ACTE Data Science Course in Kansas City via way of means of records technological knowledge and our certificate applications in records technological knowledge, prepare university college students to pursue the credential of SAS Certified Big Data Professional, ACTE records technological knowledge and facts majors stand pleased with their friend's in-technique applications. As records, technological knowledge, and facts are vital the technique opportunities available to you consist of A predicted 2.7 million open jobs in records assessment, records technological knowledge, and related careers in 2020 (deliver: IBM).

    39% growth withinside the enterprise known as for every records scientist and records engineers through manner of 2020 (deliver IBM). A not unusualplace earning capability of $8,736 extra in keeping with twelve months than every other bachelor’s degree jobs (deliver: IBM). Among the latest technique opportunities for records scientists and records analysts, IBM predicts 59% of jobs are probably in finance, records technology (IT), coverage, and professional services careers. This is broken proper right down to 19% in finance and coverage, 18% in professional services, and 17% in IT. 61% of records scientists and advanced assessment positions are probably available to bachelor’s degree holders, on the equal time as 39% might require a master’s degree or a Ph.D. Data technological knowledge and records analyst jobs stay open for 5 days longer than the not unusualplace for all special jobs, which elements to the fact that there may be a lot much less competition in the one's expert fields, and recruiters have to art work harder to find licensed candidates. A degree in facts and records technological knowledge from the California University of Pennsylvania will role you in a pinnacle function to fill the employment gaps withinside the field. If you’re interested in starting on the career route of what the Harvard Business Review calls the “sexiest technique of the twenty-first century”, a records technological knowledge degree from Cal U is a brilliant choice.


    5 Functions of a Business Understanding Scientist:

    1. Business Understanding:-

    The records scientist's fee to the enterprise isn't always that statistical modeling may be used to increase a template. A records scientist has to draw near the desires of the enterprise and study them to attain one's goals.

    2. Passion:-

    Data technological knowledge is every artwork and technological knowledge. The records scientist need to have a define of methods an excellent solution looks. There are enough media solutions. It requires staying electricity and backbone to find out the right choice to the right issue.

    3. Curiosity:-

    Data technological knowledge isn't always the latest place, however, discoveries are made every twelve months. Because records scientists continuously are attempting to find possible solutions to problems. This consists of seeking out novel and optimal techniques of gathering and merging records, preprocessing and engineering functions, or developing models and developing their strolling times with the resource of the usage of combining software program packages and hardware.

    4. Innovation:-

    Some of the expenses in records technological knowledge comes from solutions now not in advance then considered and implemented. The first-mover gain withinside the digital area is real and can make a company or harm it off. Many new industrial corporation models depend on how properly records and assessment can be used to generate the latest and particular model, consequently, records scientists can't repeat what has previously functioned. You have to constantly hunt for the following major element, which differentiates your offer from special products presently on the market.

    5. Intuition:-

    Although the arithmetic involved in analytics is foundational and proven, the use of it to treatment precise industrial corporation problems is an artwork form, as said above. The records scientist has to have the cappotential to differentiate extraordinary from now not-so-extraordinary analytics.


    Is Data Science a successful profession ?

    One of the extraordinary expert opportunities withinside the Learning Data Science Online Training. You may also moreover study Data Science with more opportunities. With Python, R, or SQL a candidate may additionally study Data Science. Since records technological knowledge is a numerous career, there are various career possibilities withinside the market. Upon of entirety of the records technological knowledge route, the primary challenge profiles are as follows:-

  • Data Scientist
  • Data Analyst
  • Data Engineer

Roles of a Data Scientist and what kind of a Data Scientist can earn?

    Four top-notch roles for Data scientists:

  • Data Businesspeople.
  • Creative for Data.
  • Data Developers.
  • Data Researcher.

For the Data Scientist, the normal profits in India are Rs. 752,656 in keeping with the annum. Depending upon your knowledge and enjoy the profits package deal changes. The scope of the Data Scientists will grow immensely withinside the future and the decision for Data Scientists is going to be robust. To study the Data Science Online Certification Course professionally and get the preferred hands-on competencies to qualify yourself as a Data Scientist.


Salary Of Data Science Course

The common annual pay for Data Science Course in Kansas City is Rs. 698,412. An entry-stage statistics scientist with much less than 12 months of revel in may also earn around $500,000 in keeping with 12 months. Data scientists with 1 to four years of revel in may also anticipate making approximately 610,811 in keeping with 12 months. According to Linkedin, the common profits for a statistics scientist is $850,000. With five to eight years of revel in, a mid-stage statistics scientist may also make approximately $100,000 in keeping with 12 months. Early-profession statistics scientists with 1 to two years of revel in earn around $6,11,000 in keeping with 12 months. Check out Great Learning's Pay Builder in case you need to find out extra approximately your present-day revenue and the way it can enhance over the subsequent five-10 years! Plan your expert achievement and discover ways to earn extra money.

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Data Science Course Key Features

ACTE Kansas 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 Training in Kansas
Module 1: Introduction to Data Science
  • What is Data Science, 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 Kansas 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

Complete Your Course

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 Kansas 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 Kansas to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in Kansas from recognized IT industries.

Data Science Course Reviews

Our ACTE Kansas 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 Kansas 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

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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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