A combination course for anyone who wants to master both!
FOR RETAIL:
Details of program:
- Duration: 55 hours
- Course-ware: Practice problems. For Aptitude, all practice problems are from sample company papers
- Assessments: 5 TTs (Topical Tests) and 3 PTs (Practice Tests) on Aptitude
- Features:
- Entire SFML course + Select Aptitude topics – A classic combination of two most important areas in job placements
- Plenty of examples and assignments based on day-to-day life experiences.
- 80% practice, 20% theory
- The course design manifests applications of concepts in solving real life problems.
- Participants handle, modify, analyze, in short play with the data and learn in presence of facilitator.
- Completely relevant for pursuing careers in Machine Learning and Data science.
- Advantage for participants of learning only most frequently asked Aptitude topics in exams
- Pre-requisites:
- No prior knowledge of statistics is required.
- Basic mathematics (addition, subtraction, multiplication, division, and decimals) should be known.
- Will to learn and practice.
- Technical requirements:Laptop or desktop with any version of Microsoft excel installed.
- Modules covered:
- Aptitude: Percentage, Ratio, Profit and Loss, Average, Simple and Compound Interest, Time, Speed and Distance, Time and Work, Permutations Combinations and Probability and Seating Arrangements, Data Interpretation
- Introduction of Statistics: Data and information, Types of data, Population and sample
- Describing data: Types of chart/graph, drawing graphs, mean, mode, median, range, percentile, 5-step summary, variance, standard deviation
- Probability: Counting principles, combinations and permutations, Key terms of probability, problems on cards-dice-coins-balls, independent events, odds in favor and against, conditional probability, Addition and Multiplication theorem
- Distributing data: Density curve, Discrete and continuous random variables, binomial distribution, Poisson distribution, Normal distribution, standard normal distribution, The empirical rule, central limit theorem, sampling distribution, Finite population correction, Confidence intervals, Confidence levels, T-table
- Hypothesis testing: Significance test, P-value, Type I and II errors, Test-statistic, Hypothesis testing for population mean, Hypothesis testing for population proportion
- Regression: Correlation, Covariance, Regression line, Linear Regression model, Chi-square tests
For schedule, please check ‘upcoming batches’ section on front page. We can schedule a batch if you have a group of 5 students. For fees, please contact us.
FOR COLLEGES:
Details of program:
The course for retail is available for colleges also. However, based on requirement, a completely customized course is also available. Please contact us to discuss.