Statistics Training for Data Science & Data Analysis Course Overview:
This Statistics Training for Data Analysis & Data Science is designed to provide students with a comprehensive understanding of statistical concepts and techniques for data analysis and data science. The course covers fundamental topics in descriptive statistics, probability theory, statistical inference, hypothesis testing, and regression analysis. Students will learn how to analyse and interpret data using statistical methods and how to apply these methods to real-world problems. The course emphasises the use of statistical software such as R and Python to perform data analysis.
Statistics Training for Data Science & Data Analysis Course Outline:
Module1: Introduction to Statistics and Data Analysis
- Overview of statistics and its applications
- Types of Data and data collection processes
- Types Distribution
Module 2: Descriptive Statistics for business decisions making.
- Measures of frequency and central tendency
- Measures of Variability
- Graphical representations of data
Module 3: Probability Theory
- Introduction to probability theory
- Probability distributions and their applications
- Conditional probability and Bayes’ theorem
Module 4: Statistical Inference and Hypothesis Testing
- Sampling distributions and the Central Limit Theorem
- Confidence intervals and margin of error
- Hypothesis testing and p-values.
- Nonparametric tests for hypothesis testing
- Rank-based methods for data analysis
- Applications in data science and machine learning
Module 5: Regression Analysis
- linear regression and Multiple regression
- Model selection and interpretation
Module 6: Time Series Analysis
- Introduction to time series data
- Trend analysis and forecasting
- Seasonality and cyclicity in Time series
Module 7: Bayesian Statistics
- Introduction to Bayesian Statistics
- Prior and posterior distributions
- Markov Chain Monte Carlo (MCMC) methods
- Practice Manual & Textbook
- Participants workbook & Exercises
- Templates for professional practice
- Local & international case studies
- Recognized Certification of Completion
- Branded Personalized programme pack & stationaries
- Breakfast & Lunch – Buffet Menu
- 3 Star Accommodation (Optional – Available on Request)
I am Deborah Osilade, I am a Data Analyst and an Instructor at Piston and Fusion Business Academy. I love leveraging data to create high-quality data-intelligent solutions. I enjoy working on building Predictive Models, Financial models and designing Dashboards solutions. My specialization and core skills are in Finance, Data Science & Machine Learning. I have a Post Graduate Diploma in Data Science and Business Analysis from the University of Texas at Austin and a B.A. Accounting and Finance degree from Middlesex University. My proficiency with data science tools spans Programming Language for Data Science, Data visualization, and Data management tools.
Statistics Training for Data Analysis & Data Science Course Dates & Fees for Upcoming Classroom Classes In 2024
| Batch 1 | Batch 2 | |
| Date | Contact Us | Contact Us |
| Fees | ₦350,000 | ₦350,000 |
| Training Days | Fri & Sat | Contact Us |
| Training Time | 11am – 1pm | Contact Us |
| Delivery Method | Classroom & Online | Contact Us |
| Location | 123a Obadina street Lagos | Contact Us |
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