Master Big Data analytics with Hadoop and Spark, covering HDFS, YARN, RDDs, DataFrames, Spark SQL, and PySpark.
Master data visualization and dashboarding with Tableau and Power BI, covering cognitive design principles and KPI reporting.
Master exploratory data analysis and visualization in Python, covering Pandas cleaning, descriptive statistics, Seaborn, and Plotly.
Manage Exchange Server mailbox databases with PowerShell, covering database moves, limits, size reporting, and mailbox counts.
Learn R for research with statistics, publication quality graphs, data handling, and reproducible reporting from installation onwards.
Learn data analysis with NumPy and Pandas in Python, covering DataFrames, data cleaning, merging, time series, and visualization.
Learn SQL from beginner to advanced, covering joins, CTEs, window functions, and data analysis across PostgreSQL, MySQL, and SQL Server.
Master data science and AI with Python through 9 real world projects, covering machine learning, Streamlit, and local LLM apps with Ollama.
Master data structures and algorithms with Big O analysis, recursion, trees, graphs, sorting, searching, and interview problem solving techniques.
Learn MySQL and SQL from beginner to advanced, covering queries, joins, stored procedures, database design, and interview preparation.
Learn PostgreSQL from beginner to advanced, covering database design, SQL queries, indexing, performance optimization, and administration with PgAdmin4.
Implement numerical methods in MATLAB with complete code, covering root finding, linear systems, interpolation, integration, and ODE solvers.