-
0
Shopping Cart
Your cart is empty
- My Account
10 Courses
Learn to analyze and manipulate data using Python with Pandas and NumPy. Covers data cleaning, transformation, and exploratory data analysis techniques for practical data science applications.
Master SQL querying skills for data science, including data extraction, joins, subqueries, aggregation, and query optimization to analyze relational databases efficiently.
Learn to create interactive dashboards and reports using Power BI. Covers data modeling, visualization, and advanced DAX formulas for effective business decision-making and analytics.
Master data visualization techniques with Tableau to create compelling reports and interactive dashboards. Learn chart types, filters, and storytelling with data.
Advance your Excel skills for data analysis including pivot tables, macros, and advanced formulas to automate tasks and gain insights efficiently.
Learn to analyze and forecast time-series data using Python. Covers ARIMA, seasonal decomposition, and other forecasting techniques for predictive analytics.
Gain hands-on experience with big data analytics using Apache Spark. Learn distributed computing, data processing, and building machine learning pipelines.
Master data cleaning and feature engineering techniques essential for improving machine learning model performance and data quality.
Learn the fundamentals of A/B testing and experiment design to make data-driven product and marketing decisions.
Gain foundational knowledge of statistics necessary for data science including probability, distributions, and inferential statistics.