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Practical Data Science

  • Course level: Intermediate

Description

In this course, you will practice real-world problems. This course is divided into three modules. First is Python for Data Science, in this module, you will learn basic building blocks of Python programming. The second module is a database, in this module, you will learn to use the database along with the python programs. The focus will be on SQL and MongoDB. and the third module is Python Libraries. In this module, you will learn NumPy, Pandas, Seaborn, Matplotlib.

At the end of this course, your resume will speak for you – this course is equivalent to at least 1-2 years of real-time industry experience.

Pallavi
Pallavi

Lead Trainer and Course Developer| Programming Content Writer | Former Assistant Professor

What Will I Learn?

  • Build strong background in Data Analysis skills
  • Pursue job-oriented courses such as Machine Learning
  • Earn a Data Science certification
  • Advance your career

Topics for this course

15 Lessons

Basic Installations?

In this topic, students will learn the basic software required for data science. Also, they will learn to install and use Jupyter Notebook, will know more about the shortcuts to use the Jupyter Notebook.

Python for Data Science?

This is a separate module that consists of the basic building blocks of Python programming. In this module, students will have a deeper look at the concepts of Python like data types, variables and constants, input-output methods, control structures, and data structures of Python programming.

Introduction to Databases?

In this module, students will learn to handle the database using SQL commands. Students will learn more about relational databases. The primary focus will be on MongoDB. in which students will get to know about the operators used in this database and they will perform CRUD operations.

Python Libraries used for Data Science?

In this topic, students will learn to use various python libraries which are used in Data Science.
Free

Material Includes

  • Online access to course (Unlimited; Never expires)
  • Online access to Coding Platform (No external editor needed)
  • 3. Sample Data needed in the course

Requirements

  • Python Programming
  • Good Internet Connection
  • Working Laptop with any browser (Preferably Chrome)
  • Noise Free environment to ensure you attend and learn in the classes
  • Commitment and willingness to finish because there is no shortcut in life and there is no substitute to hard work

Target Audience

  • Middle School and High School students
  • College Students looking to build a career in IT
  • Job Seekers / Graduates
  • Professionals looking to advance their career
Students Love Us
  • Sairaj Mali, India
    Bachelor in Science
    It was a great experience with codemode team . The platform of codemode is very helpful , and user friendly interface .Helped me a lot with Python , thank you sir and mam.
Feautured Teacher
Pallavi
Lead Trainer and Course Developer
Being a former Assistant Professor, teaching and mentoring is my passion. I have 5 years of teaching experience in Engineering colleges. I am a Programming Content Writer and Technical Subject Matter Expert. Also, I am a Lead Trainer and Course Developer. I have worked on various courses like Python, Java, Data Science, AP Computer Science A, and AP Computer Science Principles.
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