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Business Analytics Certification Training in Marathahalli

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Rated #1 Recognized as the No.1 Institute for Business Analytics Certification Training in Marathahalli

Unlock exciting career opportunities with Business Analytics Certification Training in Marathahalli! Enroll in expert-led sessions and gain practical knowledge in business analytics techniques, data visualization.

By completing the Business Analytics Certification Course in Marathahalli, you’ll develop a strong foundation in Business Analytics training, uncovering trends, and making data-driven decisions that drive business success The course will equip you with practical skills in data visualization and statistical analysis.

  • Join Business Analytics Certification in Marathahalli to fast-track your career.
  • Unlock career opportunities with top companies in Marathahalli and business analysts.
  • Benefit from placement support and connect with leading employers in business analytics.
  • Get affordable, industry-recognized Business Analytics placement Training with mentorship.
  • Master key analytics tools, enhance your problem-solving abilities, and accelerate your career.
  • Gain hands-on experience working with real business data and projects, learning from experts.

    Fee INR 18000

    INR 14000

    Training

    • Case Studies and Projects 8+

    • Hours of Training 45+

    • Placement Assurance 100%

    • Expert Support 24/7

    • Support & Access Lifetime

    • Certification Yes

    • Skill Level All

    • Language All

    Obtain Our Business Analytics Certification Course in Marathahalli

    • 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

    Talk to us

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    Other Categories Placements
    • Non-IT to IT (Career Transition) 2371+
    • Diploma Candidates3001+
    • Non-Engineering Students (Arts & Science)3419+
    • Engineering Students3571+
    • CTC Greater than 5 LPA4542+
    • Academic Percentage Less than 60%5583+
    • Career Break / Gap Students2588+
    28-Apr-2025
    Mon-Fri

    Weekdays Regular

    08:00 AM & 10:00 AM Batches

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

    30-Apr-2025
    Mon-Fri

    Weekdays Regular

    08:00 AM & 10:00 AM Batches

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

    03-May-2025
    Sat,Sun

    Weekend Regular

    (10:00 AM - 01:30 PM)

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

    04-May-2025
    Sat,Sun

    Weekend Fasttrack

    (09:00 AM - 02:00 PM)

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

      Hear it from our Graduate

      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 Marathahalli?

      • 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.
      Show More

      Overview of Business Analytics Certification Training in Marathahalli

      This Business Analytics certification course in Marathahalli teaches you the fundamentals of data analysis and statistics to assist you in making data-driven decisions. This training introduces you to Power BI and delves into statistical concepts that will assist you in developing insights from available data and presenting your findings using executive-level dashboards.

      Business Analytics with Excel is an excellent course for both novices and experienced professionals who are new to or have recently entered the analytics field.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 will benefit from this Business Analytics certification course.


      Additional Info

      Introduction:

      This course introduces students to the science of business analytics while also focusing on the creative use of numbers in the digital space. The goal is to give businesses and managers the foundation they need to apply data analytics to real-world challenges they face on a daily basis in their professional lives. Students will learn to identify the best analytic tool for their specific needs, to collect, analyse, and visualise data in valid and reliable ways, and to use data in decision making for their agencies, organisations, or clients.Organizations can use business analytics to make better, more informed decisions by leveraging data.

      Data is a highly valuable resource. However, without research, it is impossible to develop a data-driven strategy. This course is a basic introduction to analytics that lays out the foundations in an easy-to-understand and engaging manner. Expert John David Ariansen explains why data is so powerful, what insights are truly valuable, and how to use common analysis tools and techniques. In addition, John David delves into data source maps, database management, and all of the different data sources that may be encountered.By the end of the course, you should be able to collect, track, and analyse a wide range of data, including sales, marketing, and psychographic metrics.


      Career path of Businees Analytics Course:

      • Moving up in your career isn't the only way to advance. It can include lateral movements. At the same level, we can move from one position to another. These moves provide you with a variety of experiences while also allowing you to grow and develop new skills.
      • Career advancement also includes the traditional path of advancing to higher-level positions. From business analyst to senior business analyst to business architect, this can be the case. Each stage will necessitate the acquisition of new skills as well as the ability to broaden your sphere of influence.
      • To provide greater value to your organisation, you will most likely need to shift from tactical to strategic thinking.Career advancement may necessitate relocating. To explore different career opportunities, you may need to relocate outside of your company or to a different facility within your organisation.
      • You don't want to be perceived as a job hopper, so be cautious. You want to stay in the role for a long enough period of time to develop good skills and foundational practises. This usually takes between 18 months and two years.However, if you can put your BA skills and techniques to use, you will most likely be able to accelerate your growth and career trajectory.
      • Exploring your current role may also be part of your career development. Investigate the boundaries and parameters of your role, as well as related roles. As a business analyst, you may have the opportunity to work with and explore roles such as project manager, product owner, and user experience designer.
      • Working closely with people in these roles allows you to pick up some of their techniques, skills, and practises. This enables you to further develop and improve your skill set.
      • People frequently overlook the fact that true growth entails realignment. This could imply stepping down from your current role to pursue a different one. For example, if you are a senior business analyst and want to explore project management, a lateral move to senior project manager may not be possible. You might have to start from the bottom of that role.
      • Finally, career advancement may include enrichment. This entails staying within your role and honing the fundamental skills that make you great. As a Business Analyst, this could imply honing your elicitation techniques, communication skills, facilitation, and influence.
      • Your career may appear to have peaks and valleys, and even plateaus at times. Those plateaus are enrichment opportunities.a way for you to hone your foundational practises skills. Consider it a platform from which you can leap to a higher level.

      Advantages:

        1. More Informed Decision-Making :

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

      • Companies that embrace data and analytics initiatives can reap significant financial benefits.
      • According to McKinsey research, organisations that invest in big data see a six percent average increase in profits, which increases to nine percent for five-year investments.
      • In line with this trend, a recent BARC study discovered that businesses that can quantify their gains from data analysis report an average 8% increase in revenues and a 10% decrease in costs.
      • These findings demonstrate the clear financial payoff that can result from a strong business analysis strategy—one that many companies can benefit from as the big data and analytics market expands.
      • Related: Data Science Bootcamp.
      • 3. Increased Operational Efficient:

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

      Skills of Business Analytics Training in Marathahalli:

      • The big data landscape has shifted dramatically, making it difficult for professionals to determine where to focus their development efforts.
      • Nonetheless, despite the changing nature of the field, there are a number of core business analytics skills that serve as the foundation of any successful business analytics career.
      • A great business analytics professional might be described as follows:

        A skilled communicator:

      • The ability to present findings in a clear and concise manner is critical to ensuring that all stakeholders understand insights and can put recommendations into action.
      • Analysts must be able to tell a storey with data by having strong writing and presentation skills.
      • Inquisitive:

      • People in this field should be naturally curious and driven to learn more and figure out how things fit together.
      • Even as analysts advance to management positions, it is critical to remain current with the industry and its changes.
      • A creative problem solver:

      • Analytics professionals use logical thinking, predictive analytics, and statistics to make recommendations that solve problems and propel a business forward.
      • Being a natural problem solver is beneficial in a profession that seeks to convert data into solutions.
      • A thinker who thinks critically:

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

      • Nobody benefits from disorganised data.
      • Analytics professionals must be able to translate and visualise data in a concise and accurate manner that is easy to digest in order to create value from it.
      • Detail-oriented as well as a big-picture thinker:

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

      Roles and Responsibilities:

      • Real-time user data and analytics programmes are used by business analysts to identify user trends, successful functions, and potential user adoption issues with the applications.
      • Business analysts become more valuable to organisations as data becomes more valuable.
      • "One of the key values in the concept of the BA transitioning into being a product owner, as the whole line between IT and digital and 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 have created product manager positions that work with BAs or have teams of BAs reporting to them, according to Hammond.
      • Similarly, the expansion and faster, iterative pace of software development has shifted the timing of the BA's involvement in a given development project.
      • In a traditional waterfall development environment, a BA is more heavily involved at the front end, gathering, analysing, and prioritising user requirements before handing them off to developers and moving on to the next software development project.
      • Meanwhile, BAs on agile projects typically stick with the project throughout implementation and even multiple releases.
      • Organizations frequently assign BAs to multiple projects at the same time if they are small enough, or they may assign a BA to a single project if it is complex.
      • Organizations also assign multiple BAs to very large software development projects, according to Hammond.
      • According to Emo, 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.”
      • “It all happens very quickly in continuous delivery mode, 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 that the traditional business analyst is not involved.”

      Certification of Business Analytics:

      • Despite the fact that business analysis in Marathahalli is a relatively new discipline in IT, a few organisations already offer certifications to help you boost your resume and prove your worth as an analyst.
      • Organizations such as the IIBA, IQBBA, IREB, and PMI each provide their own tailored business analysis certification.
      • These are some examples:

      • The IIBA Entry Certificate in Business Analysis is a qualification awarded by the International Institute of Business Analysis (ECBA).
      • IIBA Competency in Business Analysis Certification (CCBA).
      • Certified Business Analysis Professional (IIBA) (CBAP).
      • Agile Analysis Certification from the IIBA (AAC).
      • IQBBA Foundation Level Business Analyst Certification (CFLBA).
      • Certified Professional in Requirements Engineering by the IREB (CPRE).
      • PMI Business Analysis Professional (PBA).

      Who can Start:

        What exactly is a Business Analyst?

        A Business Analyst bridges the gap between business and information technology by driving the organisation toward efficiency and profitability. They are primarily in charge of planning and monitoring, eliciting requirements, analysing functional and technical requirements, and communicating with various stakeholders in order to meet business needs.

        How do I sign up for the Business Analyst Training course?

        You can sign up for this Business Analyst Training Program on our website and pay online with any of the following methods:

      • MasterCard Visa Credit or Debit Card.
      • Diner's Club by American Express.
      • PayPal.
      • How does one go about becoming a business analyst?

        A business analyst must have extensive business knowledge as well as a strong understanding of IT. One can begin their career as a domain expert, developer, or quality assurance specialist. They can perform business analysis by gathering, analysing, and documenting requirements, as well as performing user testing and other tasks. Simplilearn's Business Analyst Training programme will give you a solid foundation in business analysis.

        What are the prospects for business analysts?

        With digital transformation occurring at a rapid pace and technologies such as artificial intelligence and machine learning disrupting the market, the need for business analysts is greater than ever. Organizations rely on qualified BAs for best practises advice and to remain competitive in the future. In short, business analysts have a promising future.


      Payscale of Business Analytics in Marathahalli:

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

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

      3. In India, the highest salary for a Business Analyst is around 16 lakhs per year.

      4. This salary, however, is directly related to the experience you bring with you.

      Show More

      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 .

      Curriculum

      Syllabus of Business Analytics Course in Marathahalli
      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
      Show More
      Show Less
      Need customized curriculum?

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

      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.

      Get Certified

      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 FAQs

      Looking for better Discount Price?

      Call now: +91-7669 100 251 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
      • 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 project experience, job support, and lifetime resources.
      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 76691 00251 / 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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            Job Opportunities in Business Analyst

            More Than 35% Prefer Business Analyst. Business Analyst Is One of the Most Popular and In-Demand Technologies in the Business World.

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