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Tally Education and Distribution Services Private Limited
Skills you'll gain: Accounting Software, Accounting, Finance, Financial Accounting, General Accounting, Data Management, Taxes, Billing & Invoicing, Cash Management, Cost Accounting, Inventory Management, Supply Chain and Logistics, Financial Management, Payments, Accounts Payable and Receivable, Business Analysis, Data Analysis, Financial Analysis, Banking, Budget Management, Corporate Accouting, Data Architecture, Shipping and Receiving
Johns Hopkins University
Skills you'll gain: R Programming, Data Analysis, Statistical Analysis, Statistical Programming, Probability & Statistics, Statistical Machine Learning, General Statistics, Machine Learning Algorithms, Human Learning, Machine Learning, Problem Solving, Statistical Tests, Regression, Computer Programming, Algorithms, Applied Machine Learning, Correlation And Dependence, Data Model, Estimation, Probability Distribution, Machine Learning Software, Natural Language Processing, Basic Descriptive Statistics, Exploratory Data Analysis, Computer Graphics, Data Visualization Software, Interactive Data Visualization, Interactive Design, Plot (Graphics), Product Development
Skills you'll gain: Data Management, Extract, Transform, Load, Apache, Data Warehousing, Big Data, Database Administration, Distributed Computing Architecture, Computer Programming Tools, Internet Of Things, Problem Solving
University of Washington
Skills you'll gain: Machine Learning, Algorithms, Machine Learning Algorithms, Human Learning, Applied Machine Learning, Statistical Machine Learning, Python Programming, Probability & Statistics, Regression, Data Analysis, Machine Learning Software, Mathematics, Exploratory Data Analysis, Computer Programming, Decision Making
In summary, here are 10 of our most popular it and software courses
- Tally Bookkeeper: Tally Education and Distribution Services Private Limited
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Machine Learning: University of Washington