Learn to use statistics and Python to analyse and interpret data in a practical way while enrolled in Statistics for Data Science online course.
The Statistics for Data Science online course offers essential instruction on fundamental statistical concepts and techniques for effective data analysis. Participants will gain proficiency in data collection, summarization, visualisation, and interpretation utilising Python libraries. In addition, the Statistics for Data Science certification by PWskills covers a wide range of statistical tests and models to derive insights and make predictions from data.
This Statistics for Data Science certification course is thoughtfully designed to cater to beginners seeking to develop their skills in data science and statistical analysis. The course extends over 1 week. Offered through PW Skills, an esteemed online learning platform, the course is just one of the many valuable courses and certifications available across various domains, including data science, machine learning, artificial intelligence, cloud computing, and more.
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Statistics for Data Science fee structure:
No
The Applied Data Analysis certification syllabus is designed for individuals who are interested in pursuing a career in data science and statistics or those who want to enhance their data manipulation skills in their current professions. It caters to:
During Statistics for Data Science classes, participants will learn:
Follow the steps below to join the online course.
Step 1- Click on the link below: https://pwskills.com/course/statistics-for-data-science-english
Step 2- Click on “Enrol Now”
Step 3- Register with PWskills and the course will begin.
The Statistics for Data Science certification benefits include:
Mr Krish Naik Instructor Freelancer
The course extends over 1 week. It is a self-paced online course, allowing participants to complete it at their own convenience within this timeframe.
No, there are no specific academic qualifications or work experience requirements for enrolling in the course. It is designed to cater to beginners and individuals with varying levels of expertise in data science.
The course is primarily self-paced, with recorded videos and resources available for participants to access at their convenience. There are no live sessions included.
The course utilises Python for data analysis and statistical computations. Participants will learn how to use Python libraries such as NumPy, SciPy, pandas, and stats models.
Brochure has been downloaded.
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