Professional Certificate Course in
Data Science

Responsibilities:

• Analyzing and interpreting complex data sets to inform business decision-making.

• Developing and implementing machine learning models and algorithms.

• Cleaning and preprocessing data for analysis.

• Collaborating with cross-functional teams to identify business opportunities.

• Communicating findings and insights to non-technical stakeholders.

• Staying updated on the latest advancements in data science and machine learning.

Skills:

• Proficiency in programming languages like Python, R, or Julia.

• Strong statistical and mathematical skills.

• Knowledge of machine learning algorithms and techniques.

• Data visualization skills using tools like Matplotlib, Seaborn, or Tableau.

• Understanding of big data technologies (e.g., Hadoop, Spark).

• Problem-solving and critical-thinking abilities.

Job Titles:

• Data Scientist

• Machine Learning Engineer

• AI Research Scientist