Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Statistical Analysis Course Key Features 100% Money Back Guarantee
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5 Weeks Training
For Become a Expert -
Certificate of Training
From Industry Statistical Analysis Experts -
Beginner Friendly
No Prior Knowledge Required -
Build 3+ Projects
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
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Annual SalaryHiring Companies
Statistical Analysis Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Statistical Analysis Course Online Training course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Statistical Analysis technologies :
Syllabus of Statistical Analysis Online Course Download syllabus
- Motivate the use of statistical methods for managerial decision making
- Discuss the concepts of probability distributions and random variables
- Review methods of representing data, pictorially and through summary statistics
- Introduce standard normal distribution
- Discuss applications of normal distribution
- Introduce the concept of statistical inference
- Recognize the existence of sample-to-sample variations
- Understand central limit theorem and its implications for statistical inference
- Introduce the concept of confidence intervals as a way to make statistical inferences
- Calculate confidence intervals for population mean with known and unknown population
- Calculate confidence intervals for population proportions
- Calculate confidence intervals for population variance
- Quantify minimum sample sizes to achieve certain margin of error in predictions
- Learn how to state null and alternative hypotheses
- Understand type-I and type-II errors
- Conduct one-sided hypothesis test for population proportion / mean
- Conduct two-sided hypothesis tests for population proportion / mean
- Compare the means using paired observations
- Test for the difference of two population means using independent samples
- Test for the difference of two population proportions
- Introduce Design of Experiments
- Conduct one way Analysis of Variance (ANOVA)
- Introduce the notion of statistical tests on ordinal data
- Test for the difference between mean ranks using paired observations
- Compare mean ranks in two independent samples
- Bivariate data
- Scatter plot
- Compare mean ranks in two independent samples
- Covariance
- Correlation coefficient
- Uses and issues
- Linear regression
- Covariance
- Assumptions
- Scatter plot matrix
- Multiple linear regression
- Ordinary Least Squares method (OLS)
- Basic regression summary
- Interpretation of coefficient estimates
- standard errors
- t-values and p-values
- Basic tests
- ANOVA table
- Generalized Linear Models
- Binary and multinomial logistic regressions
- Poisson regression
- Zero-inflated Poisson regression
- Negative Binomial regression
- Missing value patterns: Missing completely at random (MCAR). Missing at random (MAR). Missing not at random (MNAR)
- List wise deletion. Pairwise deletion
- Various imputation methods: Hot deck imputation. Mean substitution. Regression imputation. EM imputation
- Censoring and truncation. Characteristics of survival analysis data
- Time-to-event data. Hazard and survival functions
- Kaplan-Meier estimate of survival function–
- Cox proportional hazards model (ph), estimation and its analysis. Extensions
- Stratified ph; ph with time-varying covariates–
- Parametric survival analysis with standard distributions
- Accelerated failure time models
- Basic concepts: randomization, replication and control
- Experimental design for testing differences in several means: Completely randomized and randomized–complete block designs. Cross-over designs
- Two-level factorial experiments full and fractional. Plackett-Burman designs
- Designs for three or more levels. Taguchi designs. Response surface designs
- Case-Control designs for campaign evaluation
- Designs for conjoint analysis
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Statistical Analysis Online Training Objectives
- Statistical Analysis Certification course is designed to teach you the fundamentals of statistical analysis, data science, and machine learning. The course covers topics such as descriptive and inferential statistics, hypothesis testing, linear and logistic regression, multivariate analysis, and predictive modeling. You will learn how to use various statistical and machine learning techniques to analyze data, identify trends and patterns, and build predictive models.
- Understanding the fundamentals of statistical analysis, data science and machine learning
- Acquiring knowledge of various statistical and machine learning techniques
- Gaining experience in data visualization and hypothesis testing
- Learning to build predictive models using linear and logistic regression
- Mastering the concepts of multivariate analysis
- Developing the skills necessary to become a more effective data analyst, data scientist, or machine learning engineer
The advantages of taking a Statistical Analysis training course include:
- No, you don't need any special qualifications to enroll in this Statistical Analysis Training. However, a basic understanding of statistics and data science is recommended.
- Statistical Analysis can be challenging to learn, but it is not impossible. With dedication and practice, you can become proficient in the principles and techniques of Statistical Analysis
- Yes, Statistical Analysis trends will continue to lead the tech industry in 2023. As businesses increasingly rely on data-driven insights to make decisions, the demand for skilled data analysts and data scientists will continue to rise. Statistical analysis techniques such as predictive modeling, machine learning, and deep learning will be essential for businesses to stay competitive.
- Some of the top hiring companies for Statistical Analysis Developers include Google, Microsoft, Amazon, IBM, Capital One, and Facebook.
- Descriptive and Inferential Statistics
- Data Visualization
- Hypothesis Testing
- Linear and Logistic Regression
- Predictive Modeling
- Learning Statistical Analysis course helps you to gain a deep understanding of the statistical methods and techniques used in data science. This knowledge can help you to become a more efficient data analyst, data scientist, or machine learning engineer. The skills you learn in this course can also help to improve your job prospects and increase your earning potential.
- You can get assistance for preparing a Statistical Analysis interview by taking online tutorials, taking practice tests, and studying the topics covered in the interview. There are also online communities where you can ask questions and get advice from experienced professionals
- Introduction to Statistical Analysis
- Advanced Statistical Analysis
- Machine Learning
- Data Visualization
- Predictive Modeling
- Data Mining
- Business Analytics
- Data Science
- time Series Analysis
We offer a range of Statistical Analysis related courses, including:
Exam & Certification
- Participate and Complete One batch of Statistical Analysis Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Statistical Analysis course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

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Pranav Srinivas
Software Testing, CapgeminiStatistical Analysis Course FAQ's
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- View the class presentation and recordings that are available for online viewing.
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