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Data Science Certification Training in Charlotte

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

17-Apr-2024
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Weekdays Regular

08:00 AM & 10:00 AM Batches

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

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

20-Apr-2024
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Job Oriented Tools Covered in Data Science Certification Training in Charlotte City

Get Practices From Specialists in Data Science Certification Training in Charlotte

  • Our Data Science Training path aims to provide guidance that combines great technical facts with a hands-on approach.
  • This whole hands-on route takes you from the fundamentals of Data Science to a complex diploma in weeks.
  • Get hands-on programming experience in Python that you'll be able to right now study in the real world.
  • Adorn yourself with the abilities you need to artwork with massive statistics sets, acquire predictive models, and tell a compelling story to stakeholders.
  • You'll have a examine the prevent-to-prevent statistics technology process, protecting the entirety you need to recognize to derive rate from complex statistics.
  • By the prevent of the route, you'll be cabin a position to talk statistics insights correctly via statistics visualizations.
  • For your capstone, you’ll location gadget-studying models into production to cope with real global statistics challenges.
  • At ACTE Training, we guide instructors in obtaining suitable qualifications. In addition, for each route we provide, we've got a tough certificate of completion.
  • START YOUR CAREER WITH Data Science Certification COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

PLACED IMAGE ACTE

Course Objectives

As businesses rely more and more on data-driven insights, the market for Data Science professionals is rapidly expanding. Companies thrive on using big data insights to create better business options as they recognize their value and potential. However, it is growing faster, making it an excellent option for bringing in a data scientist.
One of the highest-paid jobs is that of a data center worker.According to Glassdoor, data scientists earn an average of 698,412 yen per year.As a result, Data Science is a very appealing profession.
To be clear, even for a job in Data Science, you should not require a Data Science certification; your data preparation should be chosen based on your skills rather than a qualification, as hiring managers aren't particularly interested in certification. for the study of data
Most people want a good job and a good salary; learning Data Science increases your chances of getting a job and a well-managed career path. Because there aren't many experts in the field, the demand for a data scientist is growing by the day. Learning Data Science allows you to find a good job in a market that is in desperate need of it right now. A very lucrative career option
  • AWS Jobs Available With An AWS Certification .
  • Find out what you need to know as an operational support engineer.
  • Conveniently obtain Python.
  • Learn how to use pandas for statistical analysis, manipulation, and visualization.
  • Discover Scientific Machine Learning.
  • A broader range of machine learning is included.
  • Continue to learn and practice.
Consider taking the following courses after you've gained some experience as a computer user:
  • Style and Algorithmic Analysis .
  • Computing in science.
  • Probability and Applied Mathematics.
  • Engineering modeling.
  • Software engineering, database systems, artificial intelligence, machine learning, process, and image analysis are all covered.
  • Simply put, a data analyst is knowledgeable about existing data while someone works on new methods of collecting and analyzing data for use by analysts.
  • If you enjoy numbers and statistics in addition to programming, either path may suit your career objectives.
  • Everyone works with knowledge, but the key difference is what they do with it.
  • Data scientists are experts in deciphering, but they also know about cryptography and mathematical modeling.

What Are the Best Reasons to Work in Data Science?

Data Science has a bright future ahead of it. Machine learning can process data much faster because of accelerated learning and extended functions. With this in mind, the time required for advanced troubleshooting has significantly reduced the need for master data for businesses and evaluate your knowledge.

Will Data Scientists Help Data Engineers?

Data Scientists are in charge of determining what data engineers can do in a given organization.Although data scientists cannot become data engineers, they can learn technical skills.However, the other extreme, in which data engineers begin with Data Science, is much less common.

What skills are required to analyze data?

  • Essential skills for a data analyst with strong mathematical abilities.
  • The ability to analyze, model, and interpret information.
  • Problem-solving abilities.
  • A methodical and logical approach.
  • The ability to organize work while meeting deadlines.
  • Precision and attention to detail.

So where do you have to go to learn Data Science from the ground up?

While it used to take 2 to 3 years to get all of this in education bachelor's and master's degrees, many claims that you can get them in six months if you work 6 to 7 hours a day.

Is that possible for recent graduates to find work in Charlotte Data Science Certification Training Course?

The pay for entry-level knowledge workers is as appealing as the job itself. If you can crack the Amazon Data Science or Google Data Science scenarios, the knowledge you'll gain here will give you a firm grip on your career, and you'll never look back.
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Overview of Data Science Certification Training in Charlotte

ACTE your Data Science career with a Data Science course in Charlotte. You will receive high-quality Data Science training from renowned industry practitioners in a set of today's most in-demand Data Science and Machine Learning abilities. This Data Science program in Charlotte, offered in conjunction with IBM, teaches you major technologies including Python, Spark, Hadoop, and Tableau. Students are introduced to integrated blended learning through a collaboration between ACTE and IBM, preparing them to be specialists in Artificial Intelligence and Data Science. This ACTE Data Science course in Charlotte is designed to prepare students for professions in data and artificial intelligence.

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Key Features

ACTE Charlotte City USA 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 and National Institute of Education (nie) Singapore.

 

Syllabus of Data Science Course in Charlotte

Module 1: Introduction to Data Science with R
  • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
  • Hands-on Exercise - Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
  • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
Module 4: Data Visualization
  • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
  • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
Module 5: Introduction to Statistics
  • Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
  • Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
Module 6: Machine Learning
  • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
  • Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
  • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
Module 8: Decision Trees & Random Forest
  • What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
  • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
Module 9: Unsupervised learning
  • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
  • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
Module 10: Association Rule Mining & Recommendation Engine
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
  • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
Module 11: Introduction to Artificial Intelligence (self paced)
  • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
Module 12: Time Series Analysis (self paced)
  • What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
Module 16: Case Study
  • This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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Best Practising on Live Data Science Projects In Charlotte

Project 1
House Price Prediction

It predicts the median value of owner-occupied homes by applying machine learning algorithms.

Project 2
Exploratory Data Analysis

Exploratory Data Analysis is the process of making sense of your data by investigating it.

Project 3
Sarcastic News Detection

This project involves developing a classification model to classify a news headline as sarcastic or not sarcastic.

Project 4
Data cleansing Project

The main aim of this project is to check whether our database has some duplicates that are not detected.

Our Top Hiring Partner for Placements

    ACTE offers placement opportunities as add-on to every professional who completed our classroom or online Data Science Certification Training in Charlotte. Some of our students are working in these companies listed below.

  • ACTE Placement Training will assist you in comprehending the ideas, languages, accepted practices, and procedures of the CSM four lifecycles.
  • Younger business analysts and anybody interested in pursuing a career in business analysis can benefit from our Placement Training.
  • Our Placement Training will provide you with hands-on training that will provide you with industry-relevant skills and tools for advancing your career in this fast-growing profession.
  • With our core Training path, applicants will obtain a thorough understanding of the essential criteria of Business evaluation, underlying competencies, and methodologies.
  • Training direction, according to the Guide, incorporates the principles of business evaluation.
  • We finish the placement training segment by having a group conversation with the students about the topic.

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 Trainer

  • ACTE Instructors will demonstrate the inner workings of deep neural networks, emphasizing the why and how. The theory will be put into reality using the powerful framework.
  • Classroom Training, weekend training, and a quick road to fun deep learning training are all available from our experienced trainers.
  • Our Instructors are business experts and compassionate people who have developed cardiovascular fitness programs to deliver the best possible instruction to students.
  • With our core Training path, applicants will obtain a thorough understanding of the essential criteria of Business evaluation, underlying competencies, and methodologies.
  • ACTE Deep Learning Trainers are well-known experts that work for large global corporations and have 10+ years of experience in their respective fields.
  • Our Institute has received awards for Best Online Training, Best Corporate Training Program Best Training, Classes for Competitive Exams Entrance, and more.

Data Science Certification Course Reviews

Our ACTE Charlotte City USA 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.

Sathish

Software Engineer

ACTE is the best training institute to learn Data Science or any other programming language. The placement assistance is very good and students have good very high packages in the software industry.

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 Certification Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 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 and National Institute of Education (NIE) Singapore
  • 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 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 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 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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