Data Science Using Python

BY
Digital Vidya via FutureSkills

Obtain a thorough understanding of the Python programming language's features, as well as Pandas and Numpy for data science.

Mode

Online

Duration

176 Hours

Fees

₹ 15000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

The Data Science Using Python course was developed by Digital Vidya and is given by FutureSkills Prime which is focused on teaching candidates about data science and machine learning using Python. The Data Science using Python online course is designed to teach the concepts and principles of data analysis and data visualization using the Python programming language.

Data Science Using Python online classes by FutureSkills Prime and Digital Vidya offer 176 hours of prerecorded video-based lectures structured into 7 stages, beginning with the fundamentals of Python and progressing to topics such as Numpy & Pandas, as well as the data visualization in Python covering all chart types along with Matplotlib and Seaborn, and finally, the fundamentals of machine learning using Python. By the end of this program, candidates will learn how to use Microsoft Excel, Structured Query Language, and Power BI to perform various analytical approaches and data visualization.

The highlights

  • Self-paced course
  • English video lectures
  • 176 hours effort
  • Learning resources
  • Assessments

Program offerings

  • Self-paced course
  • English video lectures
  • Learning resources
  • Assessments
  • Unlimited access
  • Accessible on mobile devices

Course and certificate fees

Fees information
₹ 15,000
certificate availability

Yes

certificate providing authority

Digital Vidya +1 more

What you will learn

Data science knowledge Knowledge of data visualization Machine learning Knowledge of excel Sql knowledge Knowledge of python Knowledge of numpy

After completing the Data Science Using Python online, candidates will obtain a thorough understanding of data science and machine learning's key principles and elements. Candidates will learn how to use Python programming, Jupyter Notebook, NumPy, and Pandas to perform data science processes. Candidates will also learn about the data analysis features of Microsoft Excel, Power BI, and SQL.

The syllabus

By the end of the course participants will learn to perform various analytical techniques and data visualization using Excel, SQL and Power BI.

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