Training on Data Analysis using Python

✅ This course provides a hands-on approach to data analysis using Python, focusing on the tools and techniques that make Python a powerful language for data analysis. Participants will learn how to manipulate, analyze, and visualize data effectively, leveraging libraries such as NumPy, pandas, Matplotlib, and Seaborn. By the end of the training, participants will be equipped to handle real-world datasets, derive insights, and communicate their findings.

✅ This training is designed for Data analysts, statisticians, researchers, and professionals interested in leveraging Python for statistical modeling and data-driven decision-making.

By the end of this course, participants will be able to:

✅ Understand the fundamentals of statistical modeling and its applications.
✅ Gain proficiency in using Python libraries for statistical analysis, including NumPy, pandas, SciPy, and Statsmodels.
✅ Perform exploratory data analysis (EDA) to uncover insights from datasets.
✅ Develop and evaluate statistical models for predictive and inferential analysis.
✅ Apply advanced statistical techniques, including hypothesis testing, regression analysis, and time series modeling.
✅ Understand best practices for interpreting and presenting statistical findings.

✅ Classroom Training – 5 Days
✅ Online Training – 7 Days

✅ This course is delivered by our seasoned trainers who have vast experience as expert professionals in their respective fields of practice. The course is taught through a mix of practical activities, presentations, group works, and case studies. Training manuals and additional reference materials are provided to the participants.

✅ Upon successful completion of this course, participants will be issued a certificate.

Course Fee:

Classroom Training: USD 1150 (Includes tuition, tea refreshments, and lunch. Accommodation and travel not included.)

Virtual Training: USD 700

Registration:
Secure your spot today by registering: HERE

Note:

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📞 Contact us at dHJhaW5pbmcgfCBkZXZpbXBhY3RpbnN0aXR1dGUgISBjb20= or +254 714349537 | +254 700115705

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