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Business Analytics Certification Training in Visakhapatnam

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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

06-May-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

01-May-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

04-May-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

04-May-2024
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Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

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Obtain Our Business Analytics Training Certification Course in Visakhapatnam

  • 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 Visakhapatnam?

  • Install the RStudio and Business Analytics Training packages.
  • A Gentle Introduction to Tidy 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 Visakhapatnam

Business analytics in Visakhapatnam is a step-by-step process of transforming data into insights using statistical methods to help businesses make decisions.It is a methodical examination of an organization's data with the goal of maximising the power of analytics in business. It is a process that assists businesses in identifying flaws in existing processes and highlighting meaningful data in order to meet the ever-increasing business challenges.With real-time analysis, business analytics plays a significant role in business decision making.

These days, senior management thrives on data-driven decision making that has a greater impact on the product as well as its marketing.The market has a consistent and high demand for business analysts, and the Indian job market has a significant role to play in revolutionising the business analytics job market. Over 1.2 million new jobs are expected to be created in industries such as IT & ITES, retail, banking, healthcare, ecommerce, hospitality, and manufacturing, to name a few.


Additional Info

Introduction:

Data is used in business analytics in Visakhapatnam to create mathematical models that assist organisations in making decisions that add value or are in their best interests. There is a lot of data available for organisations to use, but what data they choose and why they use it will vary by industry.Data is such an important tool for organisations because it is objective and based on facts.

This objectivity can be especially useful for organisations in determining which decisions to make in order to create the most value for themselves.It's also important to understand that data analytics and business analytics are essentially the same thing. However, data analytics focuses on analysing data and making predictions, whereas business analytics focuses on making decisions based on that data and predictions.

Key Highlights:

  • Understand the entire business analytics process, from data collection to data extraction, analysis, modelling, and presentation of results.
  • SQL is used to extract and manipulate data from large databases.
  • Identify and apply statistical models commonly used in descriptive analytics implementation.
  • Learn how to build models based on regression, simulation, and data mining using Excel-based tools.
  • Learn how to build models for linear programming, integer programming, and simulation-optimization methods using Excel-based tools.
  • Capstone Project involving financial loans to aid an investment firm's investment decisions.

Career path of Business Analytics Cousre:

  • A Business Systems Analyst can advance to senior analyst, technology architect, or enterprise architect.
  • You can advance from Project Manager to Senior Project Manager, Program Manager, Business Owner, and so on.
  • One path is not always preferable to another. You have a number of different options to consider.
  • To continue with the train analogy, you must purchase a ticket in order to travel to each stop and transfer between stations.
  • Each of those tickets will necessitate the development of distinct skills.
  • As I previously stated, in order to advance from a senior business analyst to a business architect, you must shift from tactical to strategic thinking, from inward to outward focus, and have a holistic view of the organisation.
  • To advance from business analyst in Visakhapatnam to product owner, you must develop new leadership skills, have a strong customer focus, and decision-making authority.
  • As you advance in your career, you will need to think outside the project box and more holistically in order to add more value to your organisation.

Advantages:

  • Keeping you within your budget.
  • If you're like most small businesses, you have a limited marketing budget.
  • Using business analytics allows you to make the most of every dollar by getting to know your customers better, anticipating their ever-changing needs, gaining a competitive advantage, and bringing innovative ideas and products to market.
  • Improved decision-making.
  • Data is used in business analytics to inform decisions and improve accuracy, efficiency, and response time.
  • The ability to compare one's achievements to one's overall goals.
  • Business analytics in Visakhapatnam helps you see your goals and objectives more clearly.
  • Businesses can track their current and historical performance against key performance indicators (KPIs), goals, and objectives by using data visualisation.
  • Keeping up with the times.
  • Analytics can be used by business owners and marketers to track trends, customer behaviour, and market shifts.
  • This information will allow you to stay on top of things and make changes on the fly when and if supporting data indicates it's time.
  • Increasing efficiency.
  • Nowadays, the speed with which businesses can gather data is incredible.
  • You can identify any breakdown in process or performance using business analytics in almost real-time, saving time, money, and resources.

Roles and Responsibilities:

    1. Recognize the Needs of the Businesses:

  • The Business Analyst's primary responsibility is to collaborate with project stakeholders to understand their requirements and translate them into details that developers can understand. Furthermore, to translate emerging questions from developers into details that stakeholders can understand.
  • The ability of the Business Analyst to refine the varying messages as well as the requirements of the project stakeholders or consumers into a consistent, single vision is the key skill required for this portion of the process. This task occasionally entails political and negotiating manoeuvring.
  • 2. The System's Possibilities:

  • At the start of the project, the role of a Business Analyst may appear to be one of the software development team members assigned to the project. They must, however, collaborate with key project consumers or stakeholders, as well as business people, to communicate and formulate the business vision for the project.
  • Furthermore, the BA must map out the project's scope and initial requirements. The primary goal of the BA is to get the project focused early on by transforming the initial high-level goal into something more realistic.
  • 3. Public Speaking & Presentation:

  • It is critical in business to value the creation and delivery of quality presentations on topics such as project status, application designs, and business requirements. People listening to the Business Analyst's presentation are typically senior business and IT management personnel.
  • The primary responsibility of the Business Analyst is to impress the stakeholders and other authorities with their presentation, which will have a significant impact on the business's growth.
  • 4. Describe the Project in Detail:

  • The Business Analyst in Visakhapatnam primary responsibility is to elaborate on the details. This is where he evaluates the needs and ensures the implementation team has all of the information needed to create or implement the process.
  • This phase will most likely include working with a diverse range of stakeholders or consumers across the company to ensure their needs and knowledge are combined into a detailed conversation about what they will actually build.
  • This phase is integrated with the beginning of the project in a traditional or waterfall business environment, and it covers the decision of whether to fund the project or not. In many cases, this phrase has come later, after the stakeholder's time and trust has been absorbed.
  • BA may also require a data model or specification, depending on the project. Regardless of how BA mentions it, this phase must be completed when the stakeholder or customer has signed off on the agreement of what will be implemented and the developers are aware of what they have to design and implement the project.
  • 5. Assist with Project Implementation:

  • Business Analysts are involved in implementation support from start to finish. Unless they have additional roles on the designated project, business analysts are generally not directly involved in implementation.
  • They are, however, naturally brought in if problems arise during implementation, resulting in new additional needs to be addressed. This assistance could include facilitating a problem-solving meeting to determine how certain business requirements can be met in the face of newly identified technological constraints.
  • Today, many businesses approach this project phase iteratively. That is, the Business Analyst prepares functional specifications and other requirements in a phase that is accepted by the organisation, and then the company's development team designs and implements them.
  • When compared to a single functional specification, user stories and use cases are better suited to this type of iterative strategy. As a specific set of needs prepares for development to begin, the role of the BA typically shifts from an active to a reactive mode.
  • 6. Non-Functional Requirements vs. Functional Requirements:

  • One of the roles and responsibilities of a Business Analyst is to produce a successful end product. He should decide what the project should do and how it should operate. These are referred to as functional (what the project should do) and non-functional (how the project should work) requirements in Business Analysis.
  • The functional and non-functional requirements both play a role in mentioning the capabilities of the finished service or product. As the categories mature, the importance of non-functional requirements grows.
  • The main reason for this is that once the product has established its place in the real world, you can begin developing on what it guarantees to increase its value.
  • 7. User Acceptance Testing (UAT):

  • The Business Analyst's responsibilities do not end with the identification of the project's needs and requirements. One of the most important responsibilities of the Business Analyst is to ensure that the product works as intended and that the product delivered meets the user requirements.
  • User Acceptance Testing is the only way to ensure this, and it is the only way that is possible and accepted.
  • Business Analysts should actively work on developing user-testing scenarios through testing approaches while the product is in the development and deployment stages. The product's ability to deliver the expected result is the best indicator of user acceptance.
  • 8. Technical writing, decision making, and problem solving are all important skills to have:

  • Business Analysts in Visakhapatnam primary responsibility is to create business requirements specifications, as well as other phases of documentation. For professional success, they must create documents that are informative, coherent, and usable.
  • When it comes to decision making, there are several formalised techniques available, such as decision matrix, which can help to make business-appropriate, quality, and defendable decisions, allowing you to provide the best service to internal clients and improve performance.
  • Similar to decision making, there are several formalised problem-solving techniques, such as Brainstorming and the Five Whys, that can assist in identifying the root cause of a problem and defining powerful solutions.
  • 9. System and operational upkeep:

  • Once all requirements have been addressed and a solution has been proposed, the role of the Business Analyst shifts to preventing or correcting defects, making changes, enhancements, and maintaining the system to increase the system's value.
  • They were also in charge of providing maintenance reports, system validation reports, deactivation plans, and other plans and reports for various documents. Business Analysts will also be involved in evaluating the system to determine when it needs to be replaced or deactivated.
  • 10. Team Building:

  • A Business Analyst's responsibility is unavoidable.
  • They are expected to lead impromptu or formalised teams.
  • They must coordinate, structure, and lead these team members in order for their roles to be more successful.

Tools Involved in Business Analytic Training:

  • ThoughtSpot
  • FineReport
  • MicroStrategy
  • Python and R
  • Sisense
  • TIBCO
  • SAS
  • Xplenty
  • SAP
  • Birst
  • WebFOCUS
  • BusinessObject

Industry Trends:

1. Small businesses can benefit greatly from business analytics tools.

2. This data assists businesses in learning more about customer behaviour, such as likes, dislikes, and tendencies.

3. Because of the size of the company, the owner doesn't have much room for guessing—he needs to keep track of information on an ongoing basis so that he can make adjustments as needed.

4. It's a good idea to stay up to date on business analytics trends so you can develop your own data-analysis strategies for your small business.

Online Evaluation:

1. One trend in business analytics is the use of online tools.

2. Web analytics tools, for example, allow you to track traffic to a specific page of a website, the sources of that traffic, and clicks on online advertisements.

3. Small business owners can benefit from social media trends as well—online social media sharing tools like AddThis's help you manage and gauge the popularity of articles and pages containing information about new products and services.

Business Intelligence Software:

1. Computer software programmes that allow businesses to store and analyse data are in high demand.

2. Databases are traditional computer programmes that allow users to list data and then perform queries and sorting functions on it, but some businesses are now looking to even more complex analytic software that allows them to manage information and trends both inside and outside of the company.

3. For example, IBM's Cognos software analyses statistical data and employs predictive modelling tools to assist a company in understanding and preparing for new industry trends.

Analytics for mobile devices:

1. Some businesses achieve success by analysing business activities with mobile devices.

2. The rise in popularity of smartphones such as the Blackberry and iPhone has provided busy on-the-go business owners with a way to track analytics related to their businesses.

3. FourSquare, for example, provides a mobile analytics tool that enables a business owner to check statistics on his online visitors using a cell phone.

4. Companies can also use mobile phone user information to improve a product or advertising efforts.


Payscale of Business Analytics in Visakhapatnam:

  • These employees may have extensive experience and knowledge.
  • Education may differ because we did not previously have these professional certifications and courses.
  • They could be close to 7 to 9 lakhs per year, including all bonuses, incentives, allowances, and so on.
  • These employees had more experience, knowledge, and a higher salary.
  • They can play a significant role in decision-making.
  • On average, the salary of a lead Business Analyst in Visakhapatnam may be 12 lakhs per year.
  • The highest annual salary for a lead business analyst is 1,466,738 rs.
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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 Visakhapatnam
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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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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