SAS Data Science Training Courses

Data science has transformed how businesses operate. By extracting insights from data, organizations can make better decisions, improve their products and services, and gain a competitive edge.

Ascendient Learning offers a variety of data science training courses that will help you develop the skills needed to succeed in this exciting field. Our courses cover a wide range of topics, from the basics of data science with Python to advanced tools used by data scientists, such as Machine Learning, Databricks, Azure, and RPA, and programming languages like R. We also offer courses in data engineering, which focuses on the design and implementation of data pipelines.

No matter your current skill level, Ascendient has a data science course to help you reach your goals. Our courses are taught by experienced data scientists who are passionate about sharing their knowledge.

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Learning Path: Python and Data Science

Topic

Data Science Foundations

Essential NumPy and Pandas for Data Science (DS-1101)

Applied Data Science Concepts with Python (DS-1201)

Applied Data Science Techniques

Advanced NumPy and Pandas (WA3700)

Practical Data Collection & Exploratory Data Analysis (WA3701)

Statistical Modeling for Data Analysis (WA3702)

Effective Data Visualization & Storytelling using Python (DS-2203)

Foundations of Predictive AI (DS-2204)

Managing Data Science Projects (DS-2301)

Advanced Data Science Specializations

Advanced Natural Language Processing (WA3706)

Advanced Computer Vision (WA3707)

Advanced Anomaly Detection & Recommendation Systems (WA3708)

Advanced Time Series Analysis (WA3709)

Data Science with Python

Data Science Using Python Deep Dive (WA3364)

Python Primer for Data Science and Machine Learning | Hands-on Technical Overview (TTPS4872)

Oracle - Python for Data Analytics and Machine Learning (D108363GC10)

Practical Data Science and Machine Learning with Python (WA3419)

NumPy and pandas Essentials (WA3424)

Advanced Data Analytics with PySpark (WA2936)

Data Engineering

Data Engineering - Apache Airflow Programming: Developing, Configuring, and Automating Workflows (AIRFLOW-DCA)

Data Engineering - Mastering Apache Airflow Administration: Scalable Workflow Automation and Orchestration (AIRFLOW-SWAO)

Data Engineering on Google Cloud (GCP-DE)

Data Engineering with Databricks (DEWD)

Data Engineering on Microsoft Azure (DP-203T00)

Databricks - Introduction to Python for Data Science and Data Engineering (PYTHON-PB)

R Programming

Introduction to Bayesian Inference with R (RPROG-108)

Building R Web Applications with Shiny (RPROG-104)

Text Analytics and Natural Language Processing (NLP) with R (RPROG-114)

Introduction to R Programming (ACCEL-R-INTRO)

Advanced R Programming (ACCEL-R-ADV)

Analyzing Big Data with R Programming (ACCEL-R-ABDP)

Robotic Process Automation (RPA)

Microsoft Power Automate RPA Developer (PL-500T00)

UiPath Foundation (RPA-114)

Blue Prism Foundation (RPA-102)

Blue Prism Practitioner (RPA-104)

Blue Prism Business Analyst (RPA-108)

Analytics - Blue Prism Technical Master (RPA-112)

SAS - Optimization Concepts for Data Science (OPCN51)

SAS - Experimentation in Data Science (XDS51)

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