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Program overview
Online
On-site
Hybrid
Statistics for Data Science and Data Analysis
Build a strong foundation in statistics for data analysis and data science by mastering descriptive statistics, probability, and hypothesis testing. Learn how to apply regression, categorical, and time series analysis while using visualization techniques and analytical tools to communicate data driven insights effectively.
Duration:
5 Days
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
Training Objectives
Build a high-performing, job-ready tech team.
Personalise your team’s upskilling roadmap and design a befitting, hands-on training program with Uptut
Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
Download Curriculum
- Statistics and Data Science Foundations
- Connect statistical thinking to data science outcomes
- Frame analysis questions before choosing methods
- Distinguish descriptive vs inferential goals
- Spot common statistical misuse in business reporting
- Data Types, Exploration, and Visualization
- Classify data types and measurement scales
- Explore datasets for shape, outliers, and structure
- Choose visuals that match the analysis question
- Hands-on: Build an exploration notebook/report
- Descriptive Statistics
- Summarize center and spread with the right measures
- Interpret skewness and variability for decisions
- Compare groups with descriptive summaries
- Communicate summaries without overclaiming
- Probability and Distributions
- Apply probability foundations to data problems
- Work with common discrete and continuous distributions
- Match distributions to real-world processes
- Use probability to quantify uncertainty
- Sampling, Estimation, and Confidence Intervals
- Design sampling approaches for analysis goals
- Estimate population parameters from samples
- Construct and interpret confidence intervals
- Relate sample size to estimate precision
- Hypothesis Testing
- State null/alternative hypotheses clearly
- Run hypothesis tests and interpret p-values carefully
- Control Type I/II errors in practice
- Translate test results into business language
- Regression Analysis
- Model relationships with regression techniques
- Interpret coefficients and fit diagnostics
- Use regression for explanation and prediction
- Validate models before operational use
- ANOVA and Chi-Square Tests
- Compare group means with ANOVA
- Analyze categorical associations with chi-square tests
- Check assumptions and choose alternatives when needed
- Report findings with effect context, not only significance
- Non-Parametric Tests and Experimental Design
- Apply non-parametric tests when assumptions fail
- Design experiments that answer causal questions
- Control confounders and define treatment contrasts
- Plan analysis before collecting experiment data
- Time Series Basics
- Identify trend and seasonality in time-ordered data
- Apply basic forecasting patterns for planning
- Validate forecasts with time-aware holdouts
- Communicate forecast uncertainty to stakeholders
- Tools, Ethics, Case Studies, and Reporting
- Use R/Python/Excel appropriately for statistical work
- Apply ethics and privacy responsibilities in analysis
- Practice with case studies across domains
- Present results with clear visuals and caveats
Hands-on Experience with Tools
Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
3
Why this course
- 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.
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.
Who will benefit
- Data Scientists
- Data Analysts
- Business Analysts
- Data Professionals
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.