Data Science Certification Training in Kanpur | Online Course
Home » Data Science & Ai Courses India » Data Science Training in Kanpur

Data Science Training in Kanpur

(4.9) 22369 Ratings 12569Learners

Live Instructor LED Online Training

Learn from Certified Experts

  • Newcomers & Excellent level Courses.
  • Most excellent Training toward conference Development Methods under Data Science.
  • Existence Path towards pupil Portal, Study guides, Videos & Top MNC Interview Topic.
  • Reasonable Payments beside Best curriculum Planned at Industrial Data Science Expert.
  • Performed over 9+ years as regarding Data Science Certified Specialist.
  • Following Data Science Batch to Start here a week– Register Your Sign Instantly!

aws training

Price

INR 18000

INR 14000

Price

INR 22000

INR 18000

Have Queries? Ask our Experts

+91-8376 802 119

Available 24x7 for your queries

Upcoming Batches

01-Apr-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

27-Mar-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30-Mar-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

30-Mar-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

Hear it from our Graduate

Learn at Home with ACTE

Online Courses by Certified Experts

Play a design role and participate in IT companies.

  • The field of data science is a relatively new one, and this course examines the crucial tools and concepts needed, including machine learning, statistical analysis, and working with data at scale.
  • In the following sections, we will discuss the entire data science process as well as the various roles and skills required. Afterwards, you'll learn how to obtain data from different sources, including web APIs and pages scraped from the internet.
  • Learn how to work with data using tools like R, Python, the command line, and even spreadsheets.
  • A powerful data-analysis technique will be discussed as well. This class will cover a number of techniques for planning, performing, and presenting data science projects. These will get you started in data science and make you more efficient with the available data.
  • Throughout the course, you will be provided with the ultimate toolkit for a data science career. An overview of the field and its different career paths will be provided, such as Product Analyst, Data Engineer, Data Scientist, and many others.
  • Having the knowledge of the various options available will help you take full advantage of them. The course covers a wide range of topics, including probability, statistics, machine learning, product metrics, a variety of data sets, A/B testing, and market analysis, among others.
  • Several world-renowned technology companies will contribute to this course, including Amazon, Square, Facebook, Google, Microsoft, AirBnB, and more!
  • For each question in the course, detailed explanations and solutions will be provided. It also provides you with the opportunity to prepare for exams and serve as a reference while working.
  • You must be familiar with the following topics if you want to pass the interview.
  • With this curriculum, students will understand the subject better. Through our program, we help students prepare for job interviews and find employment with reputable companies.
  • 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!
  • 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

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 Kanpur?

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
Show More

Overview of Data Science Training in Kanpur

Techies, creatives, and enterprise experts all have an area in virtual advertising. There are such a lot of paths you could take; it is exceptional to pay attention to one or matters which you excel, after which study greater from there. There is a Digital Skills Gap: According to this report, there's a growing call for human beings with virtual skills, in particular for the ones withinside the middle-earnings bracket, in particular gentle skills. This hole is maximum outstanding withinside the United States. So, even in case you are now no longer a complete techie, preserving up with ongoing education on this vicinity is a superb guess for the foreseeable future.

Digital advertising is a developing area, and our virtual advertising education organization allows you to come to be a notable virtual marketer. Professionals withinside the virtual advertising area have created the route syllabus for our virtual advertising courses. Accreditation in Bing Ads, Google Analytics, and Twitter Marketing are some of the maximum in-call for virtual advertising certification examinations. For this Digital Marketing Course, we provide each stay in-magnificence and online education to our students. With this virtual advertising education, you may get hold of the maximum up-to-date route materials.


Additional Info

INTRODUCTION OF DATA SCIENCE

Data technological know-how keeps adapting as one of the maximum encouraging and in-call for professional paths for professional professionals. Today, success records experts recognize that they need to boost beyond the conventional abilities to study massive quantities of records, records mining, and programming abilities. To find beneficial intelligence for his or her organizations, records scientists need to grasp the overall spectrum of the records technological know-how existence cycle and own a degree of flexibleness and knowledge to maximize returns at every segment of the process.

It is the method of attracting leads with the aid of using supplying content material this is useful to them and could organically result in engagement. What this indicates is that we're speaking approximately inbound advertising they specialize in producing content material that your audience, the human beings you need to attain would like, locate interesting, applicable, educative, or enlightening. When they devour your content material; videos, photographs, or audio they get drawn on your emblem due to the fact you’ve given them a few degrees of statistics that they already like. Think approximately inbound advertising as Paid media. The inbound advertising is a pull approach due to the fact you're controlling your content material and drawing human beings into your emblem, getting them to


ROLES AND RSPONERS ABILITY Data Science

Data is anywhere and expansive. A sort of phrases associated with mining, cleaning, studying, and decoding records are regularly used interchangeably, however, they could contain one-of-a-kind talent units and complexity of records.

1.Data Scientist Data scientists study which questions want answering and wherein to discover the associated records. They have commercial enterprise acumen and analytical abilities in addition to the capacity to mine, clean, and gift records. Businesses use records scientists to supply, manipulate, and examine massive quantities of unstructured records. Results are then synthesized and communicated to key stakeholders to pressure strategic decision-making withinside the company. Skills needed: Programming abilities (SAS, R, Python), statistical and mathematical abilities, storytelling and records visualization, Hadoop, SQL, gadget mastering

2. Data Analyst Data analysts bridge the distance between records scientists and commercial enterprise analysts. They are furnished with the questions that want answering from a company after which prepare and examine records to discover consequences that align with excessive-degree commercial enterprise strategy. Data analysts are chargeable for translating technical evaluation to qualitative movement objects and efficaciously speaking their findings to numerous stakeholders.

Skills needed: Programming abilities (SAS, R, Python), statistical and mathematical abilities, records wrangling, records visualization

3. Data Engineer Data engineers manipulate exponential quantities of unexpectedly converting records. The awareness at the development, deployment, control, and optimization of records pipelines and infrastructure to convert and switch records to records scientists for querying. Skills needed: Programming languages (Java, Scala), NoSQL databases (MongoDB, Cassandra DB), frameworks (Apache Hadoop)


Tools for records technological know-how

Building, evaluating, deploying, and tracking gadget mastering fashions may be a complicated process. That’s why there’s been a boom withinside the wide variety of records technological know-how gear. Data scientists use many sorts of gear, however, one of the maximum, not unusualplace is open supply notebooks, which are internet packages for writing and jogging code, visualizing records, and seeing the consequences—all withinside the identical environment.

Some of the maximum famous notebooks are Jupyter, RStudio, and Zeppelin. Notebooks are very beneficial for undertaking evaluation however have their obstacles whilst records scientists want to paintings as a crew. Data technological know-how structures have been constructed to resolve this problem.

To decide which records technological know-how device is proper for you, it’s crucial to invite the subsequent questions: What form of languages do your records scientists use? What form of operating techniques do they select? What form of records reasserts are they the usage of?

For example, a few customers opt to have a records supply-agnostic carrier that makes use of open supply libraries. Others select the rate of in-database, gadget mastering algorithms.

The Benefit of a records technological know-how platform

  • A records technological know-how platform reduces redundancy and drives innovation via way of means of permitting groups to proportion code, consequences, and reports. It gets rid of bottlenecks withinside the glide of labor via way of means of simplifying control and incorporating first-rate practices.
  • In general, the first-rate records technological know-how structures purpose to make records scientists extra efficient via way of means of assisting them to boost up and supply fashions faster, and with much less error
  • Make it less complicated for records scientists to paintings with massive volumes and sorts of records
  • Deliver trusted, enterprise-grade synthetic intelligence that’s bias-free, auditable, and reproducible
  • Data technological know-how structures are constructed for collaboration via way of means of quite a several customers inclusive of professional records scientists, citizen records scientists, records engineers, and gadget mastering engineers or experts. For example, a records technological know-how platform would possibly permit records scientists to install fashions as APIs, making it smooth to combine them into one-of-a-kind packages. Data scientists can get admission to gear, records, and infrastructure while not having to watch for IT.
  • The call for records technological know-how structures has exploded withinside the marketplace. The platform marketplace is predicted to develop at a compounded annual charge of extra than 39 percent over the following few years and is projected to attain US$385 billion via way of means of 2025.

eight Must-Have Skills for Data Scientists

    Like maximum careers, the extra superior your position, the extra suite of abilities you’ll want to be a success. However, whilst searching at turning into a Data Scientist, there are sure abilities you’ll want to be gifted in irrespective of your position.

    1. Math and Statistics Any proper Data Scientist goes to have a robust basis constructed on each math and statistics. Any commercial enterprise, in particular the ones which are records-driven, will assume a Data Scientist to recognize the one-of-a-kind strategies to statistics — inclusive of most probability estimators, distributors, and statistical tests — to assist make suggestions and decisions. Calculus and linear algebra are each keys as they’re each tied to gadget mastering algorithms. 2. Analytics and Modeling Data is simplest as proper because the human beings appearing the analytics and modeling on it, so a professional Data Scientist is predicted to have excessive skillability in this region. Based on a basis of each important wondering and communique, a Data Scientist has to have the ability to research records, run tests, and create fashions to acquire new insights and are expecting feasible outcomes. 3. Machine Learning Methods
  • While having a professional degree understanding of this region isn’t constantly necessary, a degree of familiarity may be predicted. Decision trees, logistic regression, and extra are key factors that gadget mastering allows and ability employers may be seeking out those abilities.
  • 4. Programming
  • To flow from the theoretical into growing realistic packages, a Data Scientist desires robust programming abilities. Most groups will assume you to realize each Python and R, in addition to different programming languages. Object-orientated programming, primary syntax, and functions glide manipulate statements in addition to libraries and documentation all fall beneath neath this umbrella.
  • 5. Data Visualization
  • Data visualization is a key element of being a Data Scientist as you want to efficaciously talk key messaging and get purchase in for proposed answers. Understanding how to interrupt down complicated records into smaller, digestible portions in addition to the usage of a whole lot of visible aids (charts, graphs, and extra) is one talent any Data Scientist will want to be gifted to boost profession-wise. Check out our Creating Data Visualizations with Tableau put up to research extra approximately Tableau and why records visualization is so crucial.
  • 6. Intellectual Curiosity
  • At the coronary heart of the records technological know-how position is a deep interest to resolve troubles and discover answers — in particular ones that require a few out of the container wondering. Data on its very own doesn’t imply an entire lot, so a fantastic Data Scientist is fuelled via way of means of a preference to recognize extra approximately what the records are telling them, and the way that data may be used on a broader scale.
  • 7. Communication
  • Data don’t talk without a person manipulating it to do so, this means that a powerful Data Scientist desires to have robust communique abilities. Whether it’s disseminating to your crew what steps you need to comply with to get from A to B with the records, or giving a presentation to commercial enterprise leadership, communique could make all of the distinctions withinside the final results of a project.
  • 8. Business Acumen
  • For a Data Scientist to efficaciously use records in a manner that’s significant to their employer, there’s a degree of commercial enterprise acumen that’s required. You want to recognize the important thing targets and desires of the commercial enterprise and the way it affects the paintings you’re doing. Also, you furthermore might have the intention to create answers that meet one's desires in a cost-powerful manner, smooth-to-put into effect, and guarantees large adoption.
  • Data Scientists: Average Salaries

    Salary applications of records scientists rely on their qualifications, acting roles, activity profiles, and years of experience. The annual package deal of a brisker generally lies among 6 lakh to eight lakh in keeping with annum (as in keeping with Payscale.com). The desk under includes the common revenue applications provided to one-of-a-kind activity roles of a Machine Learning Professional (as in keeping with Payscale.com).

Show More

Key Features

ACTE Kanpur 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 and National Institute of Education (nie) Singapore.
 

Curriculum

Syllabus of Data Science Course in Kanpur
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.
Show More
Show Less
Need customized curriculum?

Hands-on Real Time Data Science Projects

Project 1
Uber Data Analysis in R Project

Uber Data Analysis through Visualisations in R. Data storytelling is an important component of Machine Learning through which companies are able to understand.

Project 2
Driver Drowsiness Detection in Python Project

The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person's eyes are closed for a few seconds.

Project 3
Chatbot Project in Python

In this Python project with source code, we are going to build a chatbot using deep learning techniques and trained on the dataset which contains categories, pattern and responses.

Project 4
Handwritten Digit Recognition Project

The aim of this project is to implement a classification algorithm to recognize handwritten digits and pattern recognition that no single classifier performs the best.

Our Best Hiring Placement Partners

ACTE Kanpur  offers arrangement openings as extra to each understudy/proficient who finished our study hall or internet preparing. A portion of our understudies are working in these organizations recorded underneath. We offers arrangement backing is probably the best assistance upon fruitful finish of any course from our institute we help the trained to land their fantasy position by giving placement opportunities.
  • We will schedule interview calls for applicants and prepare them for face-to-face contact after they have completed 70% of the Data Science training course material.
  • Work plan for the right contenders. absolutely an undertaking coordinated course, which covers the specific progress starting from the extraordinarily pressing and walk around the basic level and, thusly, it gives tremendous level of data in singular new development.
  • During the social gathering, implying this master accomplishment assertion on student continue has a huge impact and makes the constancy of understudy resume.it likewise improves it's anything but's a more broad level of work openings.
  • Our circumstance get groups together with over 600+ accomplices. Our outline specialists work with the total of our helpful understudies and firms like as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, HDFC, AMAZON, PAYPAL, and others from one side.
  • We have separate applicants entryways for circumstance, here understudy will get all the get-together schedules and we brief understudy through messages.
  • We will make plans to conduct Mock Exams and Mock Interviews to find the skillful Candidate for our hiring partners.

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 Satisfactory Data Science Trainer

  • Our Data Science Training in Kanpur. Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
  • Our Data Science Training mentor are incredibly outfitted specialists with more than 9+ wide stretches of unsurprising position who are comprehensively seen as the best in the business and now serve for tremendous affiliations.
  • Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Training to the applicants.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Latest interpretation Data Science Training accounts guaranteed and Complete plan of stories like live online social events.

Data Science Course Reviews

Our ACTE Kanpur 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.

Monisha

Software Engineer

An excellent Data Science authorized training center at Kanpur. Good facilites and effective trainers in ACTE. Prompt and transparent placement process. They also provide effective counselling through sessions every month to guide candidates....

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.

View More Reviews
Show Less

Data Science 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 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 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
Show More
Request for Class Room & Online Training Quotation

      Related Category Courses

      data science with sas training acte
      Data Science With SAS Training in Chennai

      Beginner & Advanced level Classes. Hands-On Learning in Data Science Read more

      data science with r training acte
      Data Science with R Training in Chennai

      Beginner & Advanced level Classes. Hands-On Learning in Data Science Read more

      data science with python training acte
      Data Science With Python Training in Chennai

      Live Instructor LED Online Training Learn from Certified Experts Beginner Read more

      python training acte
      Python Training in Chennai

      Live Instructor LED Online Training Learn from Certified Experts Beginner Read more

      r programing training acte
      R Programming Training in Chennai

      Beginner & Advanced level Classes. Hands-On Learning in R Programming. Read more

      machine Learning training acte
      Machine Learning Training in Chennai

      Live Instructor LED Online Training Learn from Certified Experts Beginner Read more

      ai training acte
      Artificial Intelligence Course in Chennai

      Live Instructor LED Online Training Learn from Certified Experts Advanced Read more