For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform—by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice.
Understanding of Python programming language
Program and games creation using Python 2 & 3
Knowledge of GUI creation
Advanced Python features such as collections module & timestamps
Students and freshers with interest in coding
IT professionals looking for a domain with utmost job security
Non- IT professionals willing to enter into IT with easy coding
Organizations focusing on leveraging Python on a large scale
Understanding of Python programming language
Program and games creation using Python 2 & 3
Knowledge of GUI creation
Advanced Python features such as collections module & timestamps
Students and freshers with interest in coding
IT professionals looking for a domain with utmost job security
Non- IT professionals willing to enter into IT with easy coding
Organizations focusing on leveraging Python on a large scale
Objectives
Course Objectives
Student
Target Student
Information
Prerequisites
To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended. You can obtain this level of skills and knowledge by taking the Logical Operations course Using Data Science Tools in Python® .
In addition to programming, you should also have experience working with databases, including querying languages like SQL. Several Logical Operations courses can help you attain this experience:
