Statistics for Data Science

$24$48

  • Course Duration: 4 weeks
  • Total Video Length: 17:12 hours
  • Target Audience: Students, researchers, and professionals interested in data-driven analysis
  • Prerequisites: Dive into Data Science
  • Instructor: Dr. Zahra Zolghadr
  • Lifetime access to course videos and the option for free retraining in hybrid format
  • Language: Persian
SKU: N/A

Undoubtedly, on your journey to mastering data science, a fundamental understanding of statistics, the first discipline of data analysis and a core pillar of this ecosystem, is essential. This course is designed to familiarize learners with the basic concepts of statistics and probability, as well as their applications in solving various data science problems. Throughout the course, participants will be introduced to the framework and practical concepts of statistical analysis and learn to apply them using Python’s specialized libraries. By the end of the course, they will be able to analyze problem-related data through descriptive and inferential statistical techniques.

The hybrid courses include the following:

  • Video Content:
    In the hybrid course format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants.
  • Mentoring Service:
    However, the videos are only part of the learning experience. For each week’s content, we offer a two-hour online mentoring session. These sessions are usually scheduled on weekdays (Monday to Friday) outside of business hours. After watching the video lessons, you can ask any questions or clarify doubts directly with the instructor during the live mentoring session, fostering a direct interaction with the course instructor.
    Additionally, instructors can use this service to monitor the progress of remote participants, track assigned tasks, and follow up on exercises.
  • Telegram Support:
    For each ongoing program, a dedicated Telegram group will be created, where all participants of hybrid courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible.
  • Certificate:
    At the end of the hybrid courses, participants will receive a certificate. The certificate is issued in English, can be verified online, and is shareable on social media platforms.

The self-paced courses include the following:

  • Video Content:
    In the self-paced format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants.
  • Telegram Support:
    For each ongoing program, a dedicated Telegram group will be created, where all participants of self-paced courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible.
  • Certificate:
    Self-paced courses do not include certification.
Course Type

Hybrid, Self-paced

Syllabus

• Introduction to Statistics and Probability
• Probability Theory and
• Probability Distributions
• Simulating Probability Distributions in Python
• Statistical Analysis
• Implementing Descriptive Statistics in Python
• Correlation Analysis in Statistics
• Independence Test
• Independent t-test
• Paired t-test
• ANOVA (Analysis of Variance)
• Correlation Test
• Non-parametric Tests
• A/B Testing