Statistical Modeling Certificate Program for Data scientist
Expert-Led Statistical Training
Dive deep into statistics, time series, and A/B testing with industry experts.
Learn through practical case studies and projects, directly applicable to your work.
Elevate your professional profile with a recognized certification in statistical modeling.
Interactive and Engaging Content
Engage with dynamic course materials for an immersive learning experience.
Build a career in an exciting, in-demand profession
Goals / Outcomes in this program:
- This program is tailored for data scientist to enhance their expertise and interview skills in statistical analysis, time series analysis, and A/B testing, using Python.
- It is ideal for professionals in data-driven roles, aspiring data scientists, and anyone keen on leveraging advanced data techniques for insightful decision-making.
Learn from Industry Experts and Seasoned Educators
On-demand technical coaching
Why Choose Us?
We embrace a hands-on learning philosophy, emphasizing practical experiences for an authentic grasp of data science concepts. Committed to cultivating the growth of emerging professionals in the data science realm, our program provides a distinctive opportunity to collaborate with seasoned experts. Join our dynamic team and immerse yourself in gaining practical expertise in areas such as data analysis, machine learning, and statistical modeling.
Synchronous online classes
Interactive live coding lessons
Career insights and interview tips
- Week 1-2: Introduction to Python for Data Science - Syntax, Data Structures, Libraries like NumPy and Pandas.
- Week 3-4: Basic Statistical Concepts - Descriptive Statistics, Probability Theory, Hypothesis Testing.
- Week 5-6: Intermediate Statistics - Inferential Statistics, Regression Analysis, Correlation.
- Week 7-8: Time Series Analysis - Understanding Trends, Seasonality, Forecasting Techniques.
- Week 9-10: Advanced Data Modeling - Predictive Models, Machine Learning Basics.
- Week 11-12: A/B Testing in Practice - Designing Experiments, Analyzing Results, Real-world Applications.
- Proficiency in Python for data analysis.
- Strong foundational knowledge in statistical methods.
- Ability to conduct time series analysis and forecast data.
- Skills to design and interpret A/B tests effectively.
- Basic understanding of machine learning models and their applications.
Price and payment options
Statistical Modeling Certificate Program start dates
The next batch starts
Nov 20, 2023
Nov 20, 2023
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