Data Analyst Optimisation course

Data Analyst Optimisation Course

This course equips Data Analysts with essential skills: data analysis, programming (Python, R, SQL), visualization, database management, machine learning, business acumen, big data technologies, communication, ethics, and continuous learning.

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Course curriculum

1. How to use this course
2. Before we begin...
3. Test your learning
1. Statistical analysis
2. Descriptive, predictive, and prescriptive analytics
3. Exploratory data analysis (EDA)
1. Python
2. R
3. SQL
1. Tools such as Tableau, Power BI, and D3.js
2. Creating clear and informative charts, graphs, and dashboards
3. Storytelling with data
1. Relational databases (e.g., MySQL, PostgreSQL)
2. NoSQL databases (e.g., MongoDB, Cassandra)
3. Data warehousing (e.g., Amazon Redshift, Google BigQuery)
1. Handling missing data
2. Data normalization and transformation
3. Dealing with outliers and anomalies
1. Web scraping
2. APIs
3. Surveys and experimental data collection
1. Supervised and unsupervised learning algorithms
2. Model evaluation and validation
3. Feature engineering and selection
1. Understanding business goals and KPIs
2. Translating business problems into data questions
3. Domain-specific knowledge (e.g., finance, healthcare)
1. Hadoop
2. Spark
3. Distributed computing concepts
1. Clearly presenting findings to non-technical stakeholders
2. Writing reports and documentation
3. Data-driven decision-making support
1. Understanding data privacy laws and regulations (e.g., GDPR, CCPA)
2. Ethical considerations in data usage
3. Anonymization and data security
1. Excel and Google Sheets
2. SAS, SPSS, or other statistical software
3. Git for version control
1. Agile and Scrum methodologies
2. Time management and prioritization
3. Collaborative work in cross-functional teams
1. Staying updated with the latest industry trends and technologies
2. Attending workshops, conferences, and training sessions
3. Engaging in continuous professional development
1. Analyzing complex problems and finding data-driven solutions
2. Attention to detail
3. Logical reasoning and analytical mindset

About this course

£250.00
48 lessons
0 hours of video content

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Data Analyst Optimisation Course

Course curriculum

Welcome to the course!

Chapter 1: Data Analysis Techniques

Chapter 2: Programming and Scripting Languages

Chapter 3: Data Visualization

Chapter 4: Database Management

Chapter 5: Data Cleaning and Preprocessing

Chapter 6: Data Collection Methods

Chapter 7: Machine Learning and Data Modeling

Chapter 8: Business Acumen

Chapter 9: Big Data Technologies

Chapter 10: Communication and Presentation Skills

Chapter 11: Data Ethics and Privacy

Chapter 12: Tools and Software

Chapter 13: Project Management

Chapter 14: Continuous Learning

Chapter 15: Problem-Solving and Critical Thinking

About this course

Discover your potential, starting today