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Program overview
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Statistics for Data Science and Data Analysis
Statistics for Data Science and Data Analysis
Achieve Statistical Proficiency for Data-driven insights and informed decision making
Program Overview
The "Statistics for Data Science and Data Analysis" course is designed to provide participants with a strong foundation in statistical concepts and techniques essential for data analysis. This course will equip them with the skills to effectively analyse, interpret, and draw meaningful insights from complex datasets.
Participants will learn how to effectively summarise and visualise data, make data-driven decisions through hypothesis testing and confidence interval estimation, build regression models to predict outcomes and analyse categorical and time-dependent data.
Uptut emphasises hands-on practice using statistical software and tools commonly used in data analysis, enabling your team to apply their knowledge to real-world data challenges. Upon completing this course, participants will acquire the vital statistical skills necessary to extract meaningful insights from complex datasets and support data-driven decision-making in various domains.
Personalised training curriculum
100% Live Sessions
Lifetime access to recordings and material
Hands-on labs and assignments included
Consulting Support
Delivered by industry experts
Why Statistics for Data Science and Data Analysis for Your Business?
- Informed Decision Making: Extract meaningful insights from your data and make informed choices that lead to better outcomes.
- Accuracy and Reliability: Identify patterns, relationships, and trends in the data, to gain deeper insights into operations, customer behavior, market trends, and more.
- Predictive Analytics: Forecast future trends, demand patterns, and customer behavior.
Make Your Team Proficient
Training Objectives
- Develop a solid foundation in statistical concepts and terminology relevant to data science and data analysis.
- Understand the importance of data exploration and visualization for gaining insights and identifying patterns.
- Learn to summarize and describe data using descriptive statistics effectively.
- Gain proficiency in probability theory and its application to data analysis.
- Master hypothesis testing and confidence interval estimation for making data-driven decisions.
- Acquire the skills to perform regression analysis to model relationships and make predictions.
- Understand techniques for analyzing categorical data, such as chi-square tests.
- Explore time series analysis methods to identify patterns and forecast future values.
- Learn data visualization principles and techniques for effectively communicating data insights.
- Apply statistical techniques using popular software tools commonly used in data analysis.
Hands-on Experience with Tools
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Core Training Modules
- Introduction to Statistics and Data Science
- Understanding the fundamental concepts and the Role of Statistics in data science.
- Data Types and Measurement Scales
- Exploring different data types and measurement scales used in statistical analysis.
- Data Exploration and Visualization
- Techniques for exploring and visualizing data to gain insights and identify patterns.
- Descriptive Statistics
- Summarizing and describing data using central tendency and dispersion measures.
- Probability Theory
- Understanding the foundations of probability theory and its application to data analysis.
- Probability Distributions
- Exploring discrete and continuous probability distributions and their properties.
- Sampling and Estimation
- Techniques for sampling data and estimating population parameters.
- Hypothesis Testing
- Conducting hypothesis tests to make inferences about population parameters.
- Confidence Intervals
- Constructing and interpreting confidence intervals to estimate population parameters.
- Regression Analysis
- Building regression models to understand relationships between variables and make predictions.
- Analysis of Variance (ANOVA)
- Analyzing variance between groups to compare means and identify significant differences.
- Chi-Square Tests
- Performing chi-square tests to analyze categorical data and test for independence.
- Non-Parametric Tests
- Applying non-parametric tests for data that does not meet the assumptions of parametric tests.
- Time Series Analysis
- Analyzing time-dependent data to identify patterns and trends and forecast future values.
- Experimental Design
- Designing experiments and analyzing the results using statistical methods.
- Data Visualization Principles
- Principles and best practices for effectively visualizing data to communicate insights.
- Statistical Software and Tools
- Utilising popular statistical software and tools like R, Python, and Excel/ Advanced Excel.
- Ethical Considerations in Data Analysis
- Understanding the ethical implications and responsibilities in data analysis and decision-making.
- Case Studies and Practical Applications
- Applying statistical techniques to real-world scenarios and data sets.
- Communication and Reporting of Results
- Presenting and communicating statistical findings and insights to stakeholders.
How does personalized training work?
01
Analyzing skill gap and assessing business requirements
02
Customising curriculum with core and additional modules to fit objectives
03
Supporting learning implementation with consulting
Who will benefit from this training?
- Data Scientists
- Data Analysts
- Business Analysts
- Data Professionals
Is this training right for your team?
Frequently Asked Questions- Answered!
1. What are the pre-requisites for this training?
2. Will my team get any practical experience with this training?
3. What is your mode of delivery - online or on-sight?
4. Will trainees get certified?
5. What do we do if we need further support after the training?
Upskill My Team
- Personalised training curriculum
- 100% Live Sessions
- Lifetime access to recordings and material
- Hands-on labs and assignments included
- Consulting Support
- Delivered by industry experts
Accelerate Business Returns with In-Demand Technology and High-Performing Teams
Discover the power of digital transformation with train-to-deliver programs from Uptut's expert trainers and consultants trusted by 50,000+ professionals across the world's leading tech innovators.
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