Pengenalan Data Analis
Introduction to the Data Analyst Role
The Importance of Data Analytics in Business
Essential Tools and Technologies for Data Analysts
Overview of the Data Analysis ProcessIntroduction to Types of Data Analytics
Overview of Analytical MethodsData Analytics Pipeline
Introduction to the Data Analytics Pipeline
Data Processing and Cleaning
Data Analysis and InterpretationData Collection
Introduction to Data Collection
Data Collection Methods and Techniques
Sampling Techniques for Data Analytics
Importance of Data Quality in CollectionData Cleaning
Introduction to Data Cleaning
Common Data Quality Issues
Data Cleaning Techniques and Tools
Ensuring Data Integrity and AccuracyData Analytics Using Microsoft Excel
Introduction to Excel for Data Analysis
Advanced Formulas and Functions
Intermediate Data Analysis Functions
Advanced Data Analysis with PivotTablesData Analysis with Python
Introduction to Python for Data Analytics
Essential Python Libraries for Data Analytics
Exploring Datasets with Python
Data Analysis and Manipulation with Pandas
Data Analysis with Python Data Cleaning and Preparation in Python
Data Transformation and Aggregation
Data Visualization with Python LibrariesData Analytic with SQL
Introduction to SQL and Relational Databases
Data Filtering and Sorting in SQL
Aggregation Functions and Data Grouping
Data Manipulation Techniques in SQL
Joining Tables with SQL JOINs
Working with Subqueries and Views Data Modelling
Introduction to Data Modeling
Key Components of Data Modeling Data Visualization with Power BI
Getting Started with Power BI Desktop
Importing and Connecting Data Sources
Data Cleaning and Transformation in Power BI
Building Data Models in Power BI
Creating Effective Data Visualizations
Designing Interactive Dashboards and Reports
Best Practice in Data VisualizationData Visualization with Google Looker studio
Introduction to Google Looker Studio
Connecting to Data Sources
Building an Interactive Dashboard
Designing Professional Reports
Publishing and Sharing Reports
Simple Data TransformationData Ethics and Data Security
Introduction to Data Ethics
Data Privacy Regulations and Policies
Principles of Data Security
Best Practices for Data Protection
Ethical Considerations in Data AnalyticsCareer Preparation and Portfolio Building
Building a Professional Data Analytics Portfolio
Preparing for Data Analyst Interviews
Networking and Career Development Strategies