ACTE Specializes in Offering Real-Time Experience IT Training on AWS, Selenium, Hadoop, Java, DevOps, SAP, Data Science, Python, Digital Marketing, RPA, Oracle, Android, SAS, Microsoft, DotNet, AngularJs, Block Chain, Full Stack Developer, Apache Spark, Tableau, IOT, PHP, R programming, at Affordable Cost.
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
04-Nov-2024Starts Coming Monday ( Monday - Friday)08:00 AM (IST)
30-Oct-2024Starts Coming Wednesday ( Monday - Friday)10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
02-Nov-2024Starts Coming Saturday ( Saturday - Sunday)10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
03-Nov-2024Starts Coming Saturday ( Saturday - Sunday)10:00 AM (IST)
Data Science Training in mylapore
We provide Data Science Training Institution with Placement at Mylapore, Chennai. We are one of the best providers for Data Science weekend Training at Mylapore, Chennai. With real-time examples and practices from industry professionals. Our ACTE training program is very much mixed both practical and interview preparation of questions. Our trainer is having 15+years of experience and working in MNC’s. They share each and every experience with the students which is more beneficial to them. ACTE institute at Mylapore with the MNC' s people as a Trainer, for Data Science training and after completion of the course providing 100 % placement .
ACTE is known to provide the Best Data Science Training at Mylapore, Chennai. This course serves as an introduction to the data science Data acquisition, cleaning, and aggregation, exploratory data analysis and visualization, Feature engineering, Model creation, and validation, common statistical and mathematical foundations for data science. Every business has data but its business value depends on how much they know about the data they have. A typical data science process looks like this Understand the business, Collect & explore the data, Prepare & process the data, Build & validate the models, Deploy & monitor the performance. Data Science provides structure and accountability to ensure you stay on way, finish strong, and achieve your desired outcomes.
ACTE training program is very much mixed both practical and interview preparation of questions. They share each and every experience with the students which is more beneficial to them. Joining Data Science Training at Mylapore, Chennai has numerous benefits for our candidates. The Data Science course at Mylapore, Chennai that is provided by ACTE. Here the trainer will be handled in either weekday or weekends program depends on candidate requirement.Data Science is a knowledge of various fields that consists of planning, methods, process and extracts the knowledge of the system or idea from the data which is in multiple formats that might be organized or unorganized like Data Mining.
We do offer for Data Science training Institute at Mylapore, Chennai.In India, we have 25 Branches especially in Chennai ACTE institute Data Science is one of the world's most significant and broadly utilized scripts, and it has held this differentiation for a long time especially we are the only institute Best Online Data Science classes at Mylapore, Chennai .
Classroom Batch Training
One To One Training
Online Training
Customized Training
Key Features
ACTE Mylapore offers Data Science 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 .
Curriculam
Data Science Course Syllabus at Mylapore ,Chennai
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
The Market Basket Analysis (MBA) 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.
Logistic Regression Case Study
In this case study you will get a detailed understanding of the advertisement spends of a company that will help to drive more sales. You will deploy logistic regression to forecast the future trends, detect patterns, uncover insights and more all through the power of R programming. Due to this the future advertisement spends can be decided and optimized for higher revenues.
Multiple Regression Case Study
You will understand how to compare the miles per gallon (MPG) of a car based on the various parameters. You will deploy multiple regression and note down the MPG for car make, model, speed, load conditions, etc. It includes the model building, model diagnostic, checking the ROC curve, among other things.
Receiver Operating Characteristic (ROC) case study
You will work with various data sets in R, deploy data exploration methodologies, build scalable models, predict the outcome with highest precision, diagnose the model that you have created with various real world data, check the ROC curve and more.
Placement
ACTE Mylapore offers Placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.
We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS; IBM etc. It make us capable to place our students in top MNCs across the globe
We have separate student’s portals for Placement, here you will get all the interview schedules and we notify you through Emails.
After completion of 70% Data Science training course content, we will arrange the interview calls to students & prepare them to F2F interaction
Data Science Trainers assist students in developing their resume matching the current industry needs
We have a dedicated Placement support team wing that assist students in securing Placement according to their requirements
We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge
Reviews
Our ACTE Chennai 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.
1 day ago
Excellent teaching skills, good faculties, vicky Sir way of teaching is awesome and easy to understand the concepts, real time examples are more relevant, location of institution is good. This is the right place to learn Data science course in ACTE.
V
sangeetha
2 days ago
I had such a great experience in ACTE institute it's not just one side teaching there's a lot of two way interaction and I got to learn so much with real time scenarios. The teachers here are so friendly we can get to attend classes very flexibly.I have completed the Data science course in this institude @ velachery
V
anjilica
4 days ago
Before joining the course,i was literally confused whether go or not to go for this course, as i am from non-IT background. To overcome my confusion,i contacted Vicky Sir. He gave me some overview about how the course will go about. He built confidence in me and lit that spark of hope in my mind. Now, i'm pretty satisfied with the Data science course in ACTE Velachery.
V
harisha
4 days ago
Before joining the ACTE institute.I had read many good reviews about this institute.
Now, i would say that it's worth writing one.
Happy vibes..!
V
sharon
5 days ago
To be frank, the teaching from trainers was too good as he made complex things very easy to understand in a simpler manner and also the assignments which was given and also made to be executed in the class, is more than enough to learn Data science course in month. I would be glad to refer anyone for ACTE at Velachery.
Tambaram Reviews
V
sankar
1 day ago
ACTE is a good institute to build your carrier if your miss the training I mean your expected way or your dream goals is the better option to rebuild your carrier in IT. Vicky sir is the best trainer for Data science course. I suggest this institute is best if your planning to build your carrier in Data science.
V
ramya
2 days ago
To be frank, the teaching from trainers was too good as he made complex things very easy to understand in a simpler manner and also the assignments which was given and also made to be executed in the class, is more than enough to learn Data science course in month. I would be glad to refer anyone for ACTE Tambaram.
V
vasanth
4 days ago
Hi...ACTE is one of best institution to learn Data science course.we can get more knowledge and teaching quality is very good..trainers are well experienced and classes are very interactive and they explain with real time examples...
V
sanjay
5 days ago
"I had visited few institute and spoken to many institutes before I joined ACTE technologies in Tambaram. I must say I was not disappointed with my decision. The trainers were very committed towards conducting classes on time and made sure that students understood the Data science subject. Trainers were prepared to take backup classes for people who could not make it to the regular class hours. Most importantly they were not in a hurry to finish batches
V
lakshmi
5 days ago
Had a great experience with ACTE institude.
I am very thankful to Vicky sir for the way of teaching Data science concepts, clearing doubts and providing strong foundation for the basics.
Great place to learn new things from the scratch with recordings available for later use.
OMR Reviews
V
ragav
1 day ago
This ACTE institude @ omr was an amazing experience and vicky sir is really good in explaining each topic briefly.What i really like about this training, is an end to end exposure for whole process in step-wise manner.Plus clear notes with recorded session really make it lot easier for any student to go back and refer the topic of Data science.
V
Swathi
3 days ago
I joined in ACTE omr for Data science course here without any basic knowledge on Data science concepts.now i can say this is the Best ACTE training institute in chennai. Here the trainers provide you complete knowledge on each course with Real- time scenarios, project, case studies, Interview questions and all possible ways to make you a successful Professional.
V
vijaykumar
3 days ago
Thank you very much for your great support in ACTE trainers in omr. The way of teaching is very good, he explains all the topics by giving real time examples and give real time logic to work in the tool. Most importantly very flexible with the session timings.
V
renu
4 days ago
ACTE institude is the best institute in the city .Teaching is excellent thanks to Vicky sir who explained us concepts very well and teached us basic Data science excellent..I recommend u please to join the institute without any doubt in mind .This is best u can get more knowledge.
V
anu ruksha
5 days ago
I'm 100% satisfied with the theoretical and practical classes.The trainers explained each and every bit of details; like how Data science process a job/transformations. I'll recommend ACTE institute, if someone like to learn Data science.I have attended both online and offline class.
Annanagar Reviews
V
rechal
1 day ago
I joined in ACTE @ Anna nagar for Data science course here without any basic knowledge on Data science concepts.now i can say this is the Best ACTE training institute in chennai. Here the trainers provide you complete knowledge on each course with Real- time scenarios, project, case studies, Interview questions and all possible ways to make you a successful Professional
V
nikitha
3 days ago
It's one of the best institution is ACTE for freshers to learn Data science course and one who wanted to improve their technical skills...very good teaching faculty and friendly environment at Anna nagar
V
rita
3 days ago
Very friendly trainer, Vicky sir provides informative session and explains Data science concepts in a very simple manner each and every time. Most importantly very flexible with the session timings.
Would definitely recommend others to ACTE institude.
V
preethi
5 days ago
The concepts are explained with a lot of clarity, Plenty of notes are provided for each and every topic in a manner that is easy to understand. The trainers are very knowledgeable and approachable. I am currently going through the Data science course and I highly recommend in this ACTE institute Anna nagar.
V
kumaran
5 days ago
practical applications with real time examples,which is the best part!!
The ACTE teaching is not only focused on theoretical knowledge but also about Each and every concept is demonstrated in class practically and they also provide us few very important interview questions based on Data science course.
Porur Reviews
V
shivani
1 day ago
Excellent Training! I attended the Data science training from ACTE Porur. Vicky sir well experienced and has great teaching skills. The whole training was well planned and organized. I gained a lot of confidence to attend interviews after the training.
V
rajesk
1 days ago
I had joined ACTE @ Porur 2 months back for Data science, Vicky sir teaches really well, he makes the session really interactive and he explains topics with real time scenarios which helps us to understand each transformation in detail and the implementation becomes simpler. He has in-depth knowledge of the subject.
V
john
3 days ago
An individual who is sincerely interested in acquiring the knowledge on real-time Data science, then a visit to ACTE institute is a must.
Training is provided based on current real time requirements in the corporate world.
V
prasana
5 days ago
One of good better best teaching center is ACTE and they provide 100% support to get placement in Data science and the training method is excellent by giving assignment, conducting test and solving errors there is Bright future for ACTE joiners only thanks to ACTE for giving that kind of support grown up my career special thanks to Vicky sir.
V
Rishmitha
5 days ago
ACTE Technologies Provides excellent job oriented training. Since I come from a non-computer science background I have learned lot of things and upgraded my knowledge... Its best place to excel your career growth aspirations.. I completed Data science course in ACTE Porur chennai.
Yes, Course Fee can be paid in installments with prior Approval and also within adviced Course Completion period.
Data Science is a knowledge of various fields which consists of planning, methods, process and extracts the knowledge of the system or idea from the data which is in multiple formats that might be organized or unorganized like Data Mining.
Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.
ACTE experts will provides good subject knowledge enjoy a wide range of job opportunities with expected salary for the aspirants.. We hope that it would give you a clear idea and confidence to step forward.
We have multiple Secured Payment Modes. We accept Cash mode, Debit/Credit Card (also Merchant EMI conversion in CC available) payment mode, Bank transfer mode, Net Banking payment mode and G Pay mode. Candidates can do the Payment mode as per Convenient.
Products rating prediction for Amazon, Improving customer experience for Comcast,Attrition Analysis for IBM etc.
Our trainers are dealing with real-time scenarios in their workplace. So you can gain the complete project guidance from our industry experts as per your requirements.
Yes, Course Fee can be paid in installments with prior Approval and also within adviced Course Completion period.
A Data scientist is the top ranking professional in any analytics organization. Glassdoor ranks Data Scientists first in the 25 Best Jobs for 2019. In today’s market, Data Scientists are scarce and in demand.
Multi-Platform Demonstration , Product Based Training,Real-Time Case Studies,Use of Latest Tools & Technology,Resume & Interviews Preparation Support.
Companies like IBM,Amazon,Facebook,Numerator,Cloudera,Splunk. etc .
Data Scientist,Data Architecture,Business Analyst,Data Engineer,Data Analyst.etc.
Weekend Training Batch (Saturday, Sunday & Holidays)
Seats Available : 8 (maximum)
Regular Batch (Morning, Afternoon & Evening)
Seats Available : 8 (maximum)
Fast Track Batch
Seats Available : 5 (maximum)
Online Training (Flexible timing)
Seats Available : One to One (or) 3 (maximum)
Trainers Profile
Datascience Trainers are
Our Datascience Training in Mylapore, Chennai. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
As all Trainers are Datascience domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Datascience training to the students.
We have received various prestigious awards for Datas