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Business Analytics Certification Training in Guntur

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  • Classes for Beginners and Advanced Students.
  • With R, you can learn how to do business analytics by doing it yourself.
  • Interview Preparation Techniques in Business Analytics: Best Practices
  • Student Portal, Study Materials, Videos, and Top MNC Interview Questions are all Available for a lifetime.
  • Fees are reasonable, and the program is created by an R expert.
  • Presented by a Business Analytics Certified Expert with more than 12 years of Experience.
  • 13492+ Students Trained & 370+ Clients Recruited
  • Next Business Analytics Batch to Begin this week – Enroll Your Name Now!

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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

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Obtain Our Business Analytics Certification Course in Guntur

  • Our Business Analytics Training course strives to provide high-quality training that combines sound underlying knowledge with a practical approach to core concepts.
  • The instructor will provide business analytics using the R certification guide, sample questions, and practice questions.
  • The program will provide you with hands-on experience with RStudio, an integrated development environment (IDE) that comes with a number of built-in tools that make coding with R easier.
  • R for Business Intelligence The goal of this training course is to assist students to comprehend real-world knowledge and become Business Analytics experts.
  • R is providing the excellent capability to the analytics professionals' open source programming environment.
  • Our Business Analytics course covers everything you'll need to know to pass the Business Analytics exam.
  • Concepts: Introduction to Schema, Changing Datatypes Of Elements In Schema, Validating Maps (Schema), Debugging & Exceptions, Flat Files, Power shell Scripting.
  • START YOUR CAREER WITH Business Analytics CERTIFICATION COURSE THAT GETS YOU A JOB OF UPTO 8 TO 17 LACS IN JUST 80 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

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Course Objectives

R Programming Language, often known as Business Analytics, is an open-source programming language and software environment created by and for statisticians. It's primarily utilized for statistical calculations and high-resolution visuals. As a result, it is a popular language for data analysis among mathematicians, statisticians, data miners, and scientists.
Business Analytics R programming is a powerful enterprise-oriented programming language with the following distinguishing characteristics:
  • Business Analytics R programming is a free and open-source programming language.
  • Business Analytics R programming was created with data analysis in mind.
  • Business Analytics R programming is an object-oriented programming language.
  • Business Analytics R programming is a computer language that is interpreted.
  • The Business Analytics R programming language generates high-end images.
  • Advanced Analytics with Business Analytics programming.
  • >Business Analytics R programming has a close-knit community for the business analytics community.
Business Analytics Training is a completely programmable computer language that: Efficiently stores and processes data utilizing a set of arithmetic and textual operators for array and matrix calculations. It consists of data analysis tools. It was provided with graphical services to give data analysis that is both understandable and instructive. It Contains no-nonsense programming approaches such as well-defined functions, loops, conditionals, and input-output capabilities. It Contains a LaTeX-like documentation format that delivers a wide range of documentation in both hardcopy and softcopy formats. As a result, R is easily expandable via functions and extensions, allowing developers to extend its capabilities.
The Business Analytics Training programming language is riddled with myths. To be clear, R is not a database, even though the R programming language may readily link to a database management system (DBMS). Though it can call its C/C++ code, R's Language interpreter can be slow at times. Business Analytics R programming does not have a graphical user interface, however, it is compatible with Java and Tcl/TK. Although it is easy to connect to Excel/MS Office, the Business Analytics Training language does not provide a spreadsheet view of data.
It depends on your skill level, but it's still a difficult task. You can begin by running simple programs like a file open/close, directory change, and so on. However, writing real software may take longer. However, if you devote 6 month to learning the fundamentals of R and put forth a genuine effort, you will be quite proficient in the language.
    Statistical Analysis in Business Analytics Online Training is a book that teaches you how to do statistical analysis in Business Analytics R programming. Certification in Data Science. Professional Certificate in IBM Data Analytics with Excel and R. Business Analytics R programming Nanodegree Programming for Data Science.
    It's entirely plausible. Business Analytics Online Training is a very simple way to learn a high-level interpreted language. There are high-quality Business Analytics online courses available in our ACTE, the most well-known of which being freshers, where you may enroll for free, learn at your own pace, practice and comprehend R, and receive a certificate of completion!

What is the best way for a fresher to learn Business Analytics Online course in Guntur?

  • Install the RStudio and Business Analytics Training packages.
  • A Gentle Introduction to Today Statistics in Business Analytics Training will take you an hour.
  • Use RStudio to begin coding.
  • Use R Markdown to publish your work.
  • Learn about some useful development tools.

Is Business Analytics appropriate for Business Analysts?

As a result, Business Analytics refocuses analysis on the analysts rather than the tools. Analysts with R language abilities can also become heroes within their analytical departments by assisting in the reduction of their department's annual budget costs.

What are the different types of tools used to analyse the data in Business Analytics?

The language was created to aid in the analysis of data. It includes a number of methods for retrieving, analysing, and interpreting data, as well as high-quality visuals. It includes statistical approaches such as
  • Median Distributions
  • Covariance Regression
  • Non-linear Mixed-Effects
  • GLM
  • GAM, and many others.

What is the importance of using Business Analytics Training?

    Another excellent feature of this language is that it is object-oriented. As a result, the language excels in creating comprehensive object-oriented programs. It's also a language that lets you perform some amazing branching and looping, as well as modular programming.

How Business Analytics programming differs from other programming languages?

    The benefit of utilizing R for business analytics is that it is a language that allows you to produce some stunning visuals. It also has advanced analytics, which is a huge plus. Its packages, such as CRAN and Task Views, are also useful.
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Overview of Business Analytics Certification Training in Guntur

This Guntur Business Analytics certification course teaches you the fundamentals of data analysis and statistics to help you make data-driven decisions. This course introduces you to Power BI and delves into statistical concepts to help you develop insights from available data and present your findings using executive-level dashboards.

Business Analytics with Excel is a great course for both beginners and experienced professionals who are new to or have recently entered the analytics field. This Business Analytics certification course will benefit IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.


Additional Info

Introduction:

This course introduces students to the science of business analytics while also emphasising the creative application of numbers in the digital realm. The goal is to provide businesses and managers with the foundation required to apply data analytics to real-world challenges that they face on a daily basis in their professional lives. Students will learn to select the best analytic tool for their specific needs, to collect, analyse, and visualise data in valid and reliable ways, and to use data to make decisions for their agencies, organisations, or clients. By leveraging data, organisations can use business analytics to make better, more informed decisions.

Data is an extremely valuable resource. However, developing a data-driven strategy is impossible without research. This course is an introductory course to analytics that lays the groundwork in an easy-to-understand and engaging manner. John David Ariansen, a data expert, explains why data is so powerful, what insights are truly valuable, and how to use common analysis tools and techniques. Furthermore, John David delves into data source maps, database management, and the various data sources that may be encountered. You should be able to collect, track, and analyse a wide range of data by the end of the course, including sales, marketing, and psychographic metrics.


Who is eligible to begin:

    What is the role of a Business Analyst?

    By driving the organisation toward efficiency and profitability, a Business Analyst bridges the gap between business and information technology. In order to meet business needs, they are primarily responsible for planning and monitoring, eliciting requirements, analysing functional and technical requirements, and communicating with various stakeholders.

    How do I enrol in the Business Analyst Training programme?

    You can register for this Business Analyst Training Program on our website and pay online using any of the methods listed below:

  • MasterCard Credit or debit card from Visa.
  • American Express Diner's Club.
  • PayPal.
  • What steps should one take to become a business analyst?

    A business analyst must be well-versed in both business and information technology. A domain expert, developer, or quality assurance specialist can all start their careers. They can conduct business analysis by gathering, analysing, and documenting requirements, as well as user testing and other tasks. The Business Analyst Training programme at Simplilearn will provide you with a solid foundation in business analysis.

    What opportunities exist for business analysts?

    With the market being disrupted by technologies such as artificial intelligence and machine learning, the demand for business analysts is greater than ever. Organizations rely on qualified business analysts for best practises advice and to stay competitive in the future. In summary, business analysts have a bright future.


Business Analytics Certification:

  • Despite the fact that business analysis in Guntur is a relatively new discipline in IT, a few organisations already offer certifications to help you boost your resume and demonstrate your value as an analyst.
  • Each organisation, such as the IIBA, IQBBA, IREB, and PMI, offers its own tailored business analysis certification.
  • Here are a few examples:

  • The International Institute of Business Analysis awards the IIBA Entry Certificate in Business Analysis (ECBA).
  • Certification for IIBA Competency in Business Analysis (CCBA).
  • IIBA (International Institute of Business Analysis) Certified Business Analyst (CBAP).
  • The IIBA's Agile Analysis Certification (AAC).
  • Foundation Level Business Analyst Certification from IQBBA (CFLBA).
  • The IREB has certified him as a Professional in Requirements Engineering (CPRE).
  • Professional in Business Analysis, PMI (PBA).

Responsibilities and Roles:

  • Business analysts use real-time user data and analytics programmes to identify user trends, successful functions, and potential user adoption issues with the applications.
  • As data becomes more valuable to organisations, business analysts become more valuable.
  • "One of the key values in the concept of the BA transitioning into being a product owner, as the entire line between IT and digital, software development and business shifts," says Kelly Emo, director of product and solutions marketing for application lifecycle and quality at HPE Software.
  • Given the position's expanding list of responsibilities, some organisations, according to Hammond, have created product manager positions that work with BAs or have teams of BAs reporting to them.
  • Similarly, the expansion of software development and its faster, iterative pace has shifted the timing of the BA's involvement in a given development project.
  • A BA is more heavily involved at the front end of a traditional waterfall development environment, gathering, analysing, and prioritising user requirements before handing them off to developers and moving on to the next software development project.
  • Meanwhile, on agile projects, business analysts typically stick with the project through implementation and even multiple releases.
  • Organizations frequently assign BAs to multiple projects at once if they are small enough, or a BA to a single project if it is complex.
  • According to Hammond, organisations also assign multiple BAs to very large software development projects.
  • Emo claims that organisations are less likely to assign BAs to development work on new types of applications such as mobile marketing apps and apps for temporary sales promotions "because they're operating very lean or doing DevOps."
  • “In continuous delivery mode, everything happens very quickly, and it is data-driven rather than [driven by] lengthy requirement documents.
  • What I see today, particularly in digital first applications such as digital e-commerce, is the absence of the traditional business analyst.”

Training in Business Analytics in Guntur:

  • The big data landscape has shifted dramatically, making it difficult for professionals to prioritise their development efforts.
  • Regardless of the changing nature of the field, there are a few core business analytics skills that serve as the foundation of any successful business analytics career.
  • A fantastic business analytics professional could be described as follows:

    A good communicator:

  • The ability to present findings in a clear and concise manner is critical for ensuring that all stakeholders understand insights and can implement recommendations.
  • Analysts must be able to tell a storey using data and must have strong writing and presentation skills.
  • Inquisitive:

  • People working in this field should be naturally curious and motivated to learn more and figure out how things fit together.
  • Even as analysts advance to management positions, it is critical to stay up to date on industry trends and changes.
  • A problem solver with imagination:

  • Analytics professionals use logical reasoning, predictive analytics, and statistics to make recommendations that solve problems and propel a company forward.
  • Being a natural problem solver is advantageous in a profession that seeks to transform data into solutions.
  • A critical thinker is someone who thinks critically:

  • Business analytics professionals must consider not only the implications of the data they collect, but also the data they should collect in the first place.
  • They are expected to analyse and highlight only relevant data for decision-making.
  • A visualiser is defined as:

  • Data that is disorganised benefits no one.
  • To create value from data, analytics professionals must be able to translate and visualise it in a concise and accurate manner that is easy to digest.
  • Detail-oriented and big-picture thinker:

  • While business analytics professionals must be able to work with complex data, they must also understand how their recommendations will affect the bottom line of a company.
  • It is pointless to have access to vast amounts of data if you do not understand how to use it to analyse and improve tactics, processes, and strategies.

Advantages:

    1. Better-Informed Decision-Making:

  • When it comes to making critical strategic decisions, business analytics can be a useful tool.
  • Uber used prescriptive analytics to determine whether the new version of its Customer Obsession Ticket Assistant (COTA), a tool that uses machine learning and natural language processing to help agents improve their speed and accuracy when responding to support tickets, would be more effective than the previous version when it upgraded it in early 2018.
  • Through A/B testing—a method of comparing the outcomes of two different options—the company was able to determine that the updated product resulted in faster service, more accurate resolution recommendations, and higher customer satisfaction scores.
  • These breakthroughs not only accelerated Uber's ticket resolution process, but also saved the company millions of dollars.
  • 2. Increased Profitability:

  • Companies that embrace data and analytics initiatives can benefit financially significantly.
  • According to McKinsey research, organisations that invest in big data see a 6% average increase in profits, which rises to 9% for five-year investments.
  • In line with this trend, a recent BARC study discovered that businesses that can quantify their data analysis gains report an average 8% increase in revenues and a 10% decrease in costs.
  • These findings show the clear financial payoff that can result from a strong business analysis strategy, which many companies can benefit from as the big data and analytics market grows.
  • Data Science Bootcamp is related.
  • 3. Enhanced Operational Efficiency:

  • In addition to financial gains, analytics can be used to improve business operations.
  • Many businesses are now using predictive analytics to anticipate maintenance and operational issues before they become larger problems, according to a recent KPMG report on emerging infrastructure trends.
  • According to one surveyed mobile network operator, data is used to predict outages seven days in advance.
  • Armed with this knowledge, the company can prevent outages by better timing maintenance, allowing it to not only save on operational costs but also ensure that assets perform optimally.

Business Analytics Course Career Path:

  • Moving up the corporate ladder isn't the only way to advance. Lateral movements are possible. We can move from one position to another on the same level. These moves expose you to a wide range of experiences while also allowing you to grow and learn new skills.
  • The traditional path of advancing to higher-level positions is also included in career advancement. This can range from business analyst to senior business analyst to business architect. Each stage will require the development of new skills as well as the ability to broaden your sphere of influence.
  • To add more value to your organisation, you will most likely need to shift your thinking from tactical to strategic. Moving for a better job may necessitate relocating. You may need to relocate outside of your company or to a different facility within your organisation to explore different career opportunities.
  • Be cautious if you don't want to be perceived as a job hopper. You want to be in the role for an extended period of time so that you can develop good skills and foundational practises. Typically, this takes between 18 months and two years. However, if you can apply your BA skills and techniques, you will almost certainly be able to accelerate your growth and career trajectory.
  • Investigating your current position may also be a part of your career development. Examine the boundaries and parameters of your role, as well as those of related roles. You may have the opportunity to work with and explore roles such as project manager, product owner, and user experience designer as a business analyst.
  • Working closely with people in these roles gives you the opportunity to pick up some of their techniques, skills, and practises. This allows you to expand and improve your skill set.
  • People frequently fail to recognise that true growth necessitates realignment. This could imply leaving your current position to pursue a new one.
  • A lateral move to senior project manager, for example, may not be possible if you are a senior business analyst who wants to explore project management. You may have to begin at the bottom of that role.
  • Finally, career advancement may include enrichment opportunities. This entails staying within your role and honing the fundamental skills that distinguish you. This could imply honing your elicitation techniques, communication skills, facilitation, and influence as a Business Analyst.
  • Your professional life may appear to have peaks and valleys, and even plateaus at times. Those plateaus provide opportunities for growth. a method for you to hone your foundational practise skills Consider it a launching pad from which to launch yourself to a higher level.

Payscale:

1. A Business Analyst can expect to earn around 3.6 lakhs per year as a new hire.

2. On the other hand, someone with more than a year of experience can expect to earn around 5.3 lakhs per year.

3. The highest salary for a Business Analyst in India is around 16 lakhs per year.

4. This salary, on the other hand, is directly proportional to the experience you bring with you.

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Key Features

ACTE offers Business Analytics 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 Business Analytics Course in Guntur
Module 1: Data Science Project Lifecycle
  • Recap of Demo
  • Introduction to Types of Analytics
  • Project life cycle
  • An introduction to our E learning platform
Module 2: Introduction To Basic Statistics Using R And Python
  • Data Types
  • Measure Of central tendency
  • Measures of Dispersion
  • Graphical Techniques
  • Skewness & Kurtosis
  • Box Plot
  • R
  • R Studio
  • Descriptive Stats in R
  • Python (Installation and basic commands) and Libraries
  • Jupyter note book
  • Set up Github
  • Descriptive Stats in Python
  • Pandas and Matplotlib / Seaborn
Module 3: Probability And Hypothesis Testing
  • Random Variable
  • Probability
  • Probility Distribution
  • Normal Distribution
  • SND
  • Expected Value
  • Sampling Funnel
  • Sampling Variation
  • CLT
  • Confidence interval
  • Assignments Session-1 (1 hr)
  • Introduction to Hypothesis Testing
  • Hypothesis Testing with examples
  • 2 proportion test
  • 2 sample t test
  • Anova and Chisquare case studies
Module 4: Exploratory Data Analysis -1
  • Visualization
  • Data Cleaning
  • Imputation Techniques
  • Scatter Plot
  • Correlation analysis
  • Transformations
  • Normalization and Standardization
Module 5: Linear Regression
  • Principles of Regression
  • Introduction to Simple Linear Regression
  • Multiple Linear Regression
Module 6: Logistic Regression
  • Multiple Logistic Regression
  • Confusion matrix
  • False Positive, False Negative
  • True Positive, True Negative
  • Sensitivity, Recall, Specificity, F1 score
  • Receiver operating characteristics curve (ROC curve)
Module 7: Deployment
  • R shiny
  • Streamlit
Module 8: Data Mining Unsupervised Clustering
  • Supervised vs Unsupervised learning
  • Data Mining Process
  • Hierarchical Clustering / Agglomerative Clustering
  • Measure of distance
  • Numeric - Euclidean, Manhattan, Mahalanobis
  • Categorical - Binary Euclidean, Simple Matching Coefficient, Jaquard’s Coefficient
  • Mixed - Gower’s General Dissimilarity Coefficient
  • Types of Linkages
  • Single Linkage / Nearest Neighbour
  • Complete Linkage / Farthest Neighbour
  • Average Linkage
  • Centroid Linkage
  • Visualization of clustering algorithm using Dendrogram
Module 9: Dimension Reduction Techniques
  • PCA and tSNE
  • Why dimension reduction
  • Advantages of PCA
  • Calculation of PCA weights
  • 2D Visualization using Principal components
  • Basics of Matrix algebra
Module 10: Association Rules
  • What is Market Basket / Affinity Analysis
  • Measure of association
  • Support
  • Confidence
  • Lift Ratio
  • Apriori Algorithm
Module 11: Recommender System
  • User-based collaborative filtering
  • Measure of distance / similarity between users
  • Driver for recommendation
  • Computation reduction techniques
  • Search based methods / Item to item collaborative filtering
  • Vulnerability of recommender systems
Module 12: Introduction To Supervised Machine Learning
  • Workflow from data to deployment
  • Data nuances
  • Mindsets of modelling
Module 13: Decision Tree
  • Elements of Classification Tree - Root node, Child Node, Leaf Node, etc.
  • Greedy algorithm
  • Measure of Entropy
  • Attribute selection using Information Gain
  • Implementation of Decision tree using C5.0 and Sklearn libraries
Module 14: Exploratory Data Analysis - 2
  • Encoding Methods
  • OHE
  • Label Encoders
  • Outlier detection-Isolation Fores
  • Predictive power Score
Module 15: Feature Engineering
  • Recurcive Feature Elimination
  • PCA
Module 16: Model Validation Methods
  • Splitting data into train and test
  • Methods of cross validation
  • Accuracy methods
Module 17: Ensembled Techniques
  • Bagging
  • Boosting
  • Random Forest
  • XGBM
  • LGBM
Module 18: KNN And Support Vector Machines
  • Deciding the K value
  • Building a KNN model by splitting the data
  • Understanding the various generalization and regulation techniques to avoid overfitting and underfitting
  • Kernel tricks
Module 19: Regularization Techniques
  • Lasso Regression
  • Ridge Regression
Module 20: Neural Networks
  • Artificial Neural Network
  • Biological Neuron vs Artificial Neuron
  • ANN structure
  • Activation function
  • Network Topology
  • Classification Hyperplanes
  • Best fit “boundary”
  • Gradient Descent
  • Stochastic Gradient Descent Intro
  • Back Propogation
  • Intoduction to concepts of CNN
Module 21: Text Mining
  • Sources of data
  • Bag of words
  • Pre-processing, corpus Document-Term Matrix (DTM) and TDM
  • Word Clouds
  • Corpus level word clouds
  • Sentiment Analysis
  • Positive Word clouds
  • Negative word clouds
  • Unigram, Bigram, Trigram
  • Vector space Modelling
  • Word embedding
  • Document Similarity using Cosine similarity
Module 22: Natural Language Processing
  • Sentiment Extraction
  • Lexicons and Emotion Mining
Module 23: Naive Bayes
  • Probability – Recap
  • Bayes Rule
  • Naive Bayes Classifier
  • Text Classification using Naive Bayes
Module 24: Forecasting
  • Introduction to time series data
  • Steps of forecasting
  • Components of time series data
  • Scatter plot and Time Plot
  • Lag Plot
  • ACF - Auto-Correlation Function / Correlogram
  • Visualization principles
  • Naive forecast methods
  • Errors in forecast and its metrics
  • Model Based approaches
  • Linear Model
  • Exponential Model
  • Quadratic Model
  • Additive Seasonality
  • Multiplicative Seasonality
  • Model-Based approaches
  • AR (Auto-Regressive) model for errors
  • Random walk
  • ARMA (Auto-Regressive Moving Average), Order p and q
  • ARIMA (Auto-Regressive Integrated Moving Average), Order p, d and q
  • Data-driven approach to forecasting
  • Smoothing techniques
  • Moving Average
  • Simple Exponential Smoothing
  • Holts / Double Exponential Smoothing
  • Winters / HoltWinters
  • De-seasoning and de-trending
  • Forecasting using Python and R
Module 25: Survival Analysis
  • Concept with a business case
Module 26: End To End Project Description With Deployment
  • End to End project Description with deployment using R and Python
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Need customized curriculum?

Get Hands-on Knowledge about Real-Time Business Analytics Projects

Project 1
Uber Data Analysis

The Uber Analysis Project is a assignment in statistics visualization, wherein R and its libraries are used to research parameters or variables just like the journeys in the course of a day, or the month-to-month journeys in a year.

Project 2
Customer Segmentation

Customer Segmentation is one of the maximum essential R assignment topics. Whenever groups want to become aware of and goal the maximum capability patron base, the Customer Segmentation technique is available in handy.

Project 3
Movie Recommendation System

A Recommendation System may be constructed in R the use of the “MovieLens Dataset” and the packages – “ggplot2”, “encouraged lab”, ”statistics. table”, and “reshape2”.

Project 4
Sentiment Analysis

Sentiment evaluation is the manner of reading phrases to check evaluations and sentiments which have distinct polarities – positive, negative, or neutral.

Our Best Hiring Partner for Placements

ACTE offers placement opportunities as an add-on to all students/professionals who have taken classrooms or online education. Some of our students work for the following companies.
  • Among our clients is IBM India Pvt. Limited, Wipro, Novartis Healthcare Pvt. Ltd., VMware, Google, CTS, TCS, IBM, and others. It allows us to place our students in leading global organizations all around the world.
  • We have separate student placement webpages where you can access all of the interview schedules and receive email notifications.
  • Upon completion of 70% of Business Analytics training course content, prepare students for interview calls and prepare for F2F interactions.
  • We have a professional placement support team to help ensure placement according to student needs.
  • The emphasis is entirely on placing students in firms where they will fit in intellectually and culturally.
  • Trainers in Business Analytics aid students in constructing a resume that is relevant to current industry needs.

Get Certified By Business 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.

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About Satisfactory Business Analytics Training Mentors

  • Our Business Analytics Training Tutors are certified professionals with 9+ years of experience in their respective domains as well as they are currently working with Top MNCs.
  • Since all trainers are experts in the operation of the Business Analytics R domain, there are many live projects, so trainers will use these projects during their training sessions.
  • All our Trainers are working with companies such as IBM India Pvt. Limited, Wipro, Novartis Healthcare Pvt. Ltd., HCL Technologies, etc.
  • Our trainers also assist candidates in being placed in the company through an employee nomination / internal employment process.
  • Our training program is designed to provide students from all disciplines with instruction in a variety of technologies, depending on their area of interest.
  • We have received various prestigious awards for Business Analytics Training from recognized IT organizations.

Business Analytics Course Reviews

Our ACTE 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.

Vanitha

BizTalk

I underwent Business Analytics training in ACTE, Porur. The training session was good. My tutor Mr.Anbu have been outstanding. I liked the sessions taught by him who is an experienced faculty. Each and every topic is explained very clearly. Materials provided by him were useful. He is really good with his training and has the best content with him for the training which is really useful for a fresher like me to learn.

Dinesh Karthik

BizTalk

Good Institute for getting your basics right in any course, Thanks to Prabhu sir for training me for Business Analytics has around 10+ years of experience in Business Analytics and covers all the real time scenario's in the classes

Prabhakaran

BizTalk

I have enrolled for Business Analytics course in ACTE, Chennai It is a very nice experience. Trainer is very good and talented. All the concepts are thoroughly explained by the time you don't understand. Facilities are good. There is the provision of paying fees in instalment. Hence overall it's nice to choose

Madhumathi

Studying

It was a great learning experience in ACTE, Banglore. The entire course structure designed for its students, the teaching methodology, as well as placement assistance, is really good. ACTE helped me a lot to get my first job. Had a wonderful opportunity to learn under the guidance of dedicated faculty team headed and gain knowledge in the field of Business Analytics . I would recommend ACTE to people who are interested to learn Business Analytics .

Lakshika

BizTalk

Very motivational environment. Best way to teach. Really appreciate the efforts they put from there side to increase the knowledge and development of students. Thanks, ACTE

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Business Analytics 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 Business Analytics 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 Business Analytics Course At ACTE?

  • Business Analytics Course in ACTE is designed & conducted by Business Analytics experts with 10+ years of experience in the Business Analytics 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 Business Analytics batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Business Analytics . 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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