Professional Academy Diploma in Data Analytics using Python

Course description

Do you want to enhance your professional development, leading to increased job opportunities, career advancement, and improved earning potential in the dynamic field of data analytics.

Professional Academy Diploma in Data Analytics Course using Python – Live expert-led Data Analytics training including the following:  Explore modern analytical skills, business intelligence, data trends and patterns, data analytics for non-IT backgrounds, predictive models, real-life data analytics examples, data analysis tools, enhance business operations with data, data literacy in business, analytical processes and methods, data types and sources, future developments in data analytics, data analytics assignments, practical data analytics skills, group and individual assignments, problem-solving in data analytics, presentation skills in data analytics, report writing in data analytics, analytical skills development and industry best practices.

Programme Modules:

• Introduction to Data Analysis & Data Cleaning
• Descriptive Statistics & Data Visualization
• Exploratory Data Analysis & Hypothesis Testing
• Advanced Analysis Techniques I & Regression Analysis
• Classification, Advanced Analysis Techniques II & Communicating Results

Upon completion of this course, learners will be able to:

• Understand the basics of Data Analysis.
• Data collection and data understanding.
• Prepare data for analysis.
• Apply data analysis tools and techniques.
• Apply descriptive statistics.
• Create effective data visualizations.
• Perform exploratory data analysis (EDA).
• Conduct hypothesis testing.
• Apply advanced analysis techniques I.
• Conduct regression analysis.
• Understand and apply classification techniques.
• Apply advanced analysis techniques II.
• Communicate data analysis results effectively.
• Refine business operations using data.

Designed for both beginners and experienced analysts, this program equips you with the knowledge and confidence to uncover valuable insights, make data-driven decisions, and advance your career in the rapidly evolving field of data analytics.