• Professional certificate consisting of an 8-course series to build in-demand skills, gain career credentials, and experience

• 7 months approximate course period, learning data analytics and it's applications in marketing 

Course 1 : Marketing Analytics Foundation

Course 2 : Introduction to Data Analytics

Course 3 : Data Analysis with Spreadsheets and SQL

Course 4 : Python Data Analytics

Highlights :

• Data analysis process using OSEMN Framework

• Data Analysis with Spreadsheets

• Extracting Data with SQL

• Data visualization using Tableau

• Pandas & visualization libraries in Python

Module 1 : Experience analytics

• Data sources, daily usage, visualization

• Discrete vs continuous, data types, variety, structured vs unstructured, selection

• Analytics for insights, social & environmental examples, pivot charts

Module 2 : Data collection and storage

• Big data, characteristics, benefits of data growth

• Big data management, data pipelines

Module 3 : Artificial intelligence and machine learning

• ML & AI, AI around us, AI in action, copy.ai

• ML analysis types, ML process, training machines to recognize patterns

Module 4 : Embarking on your career in data analytics

• Job roles, job market, tools & skills, project protfolios

Introduction to Career Skills in Data Analytics

• Data analysis - fluency, data governance & data quality

• Business intelligence - value to business, business analytics vs BI, providing intelligence

• Identifying - data-driven decisions, questioning techniques, interpreting existing data, sources & structure

• Preparing - data best practices, assesment, rules of data, data preparation in Excel

• Transforming - in Excel, SQL, Power BI, common cleaning, built-in functions

• Modelling - relational databases, data modelling in Power BI, structured vs unstructured, data management

• Visualizing - methods, creating reports, dashboards, presentation, filters, tooltips

• Job mapping - data workers, analysts, engineers, scientists