We live in a world that is totally driven by the data. Data Science is the need of the day. Small enterprises to big companies like Amazon, Flipkart and Microsoft all deal with a huge amount of data. Therefore, data science and data analytics are so much in demand. The demand for the data scientists is higher than the supply of data scientists. Therefore, at Bright Computer Education, we provide SAS training in Vadodara.
Overview of data analytics, its significance in business decision-making, and introduction to SAS software for analytics.
Evaluating model performance, validating results, and fine-tuning models for accuracy and reliability using SAS.
Installation and configuration of SAS software, setting up data libraries, and navigating through SAS interface.
Conducting hypothesis tests, analyzing statistical significance, and interpreting test results using SAS procedures.
Techniques for data manipulation, data cleaning, filtering, merging, and transforming datasets using SAS.
Analyzing time-series data, forecasting trends, and detecting seasonality using SAS time series procedures.
Calculating descriptive statistics such as mean, median, mode, variance, and standard deviation using SAS procedures.
Introduction to machine learning algorithms such as clustering, classification, and ensemble methods using SAS Enterprise Miner.
Creating visualizations such as histograms, scatter plots, box plots, and bar charts to explore data distributions and trends.
Analyzing unstructured text data, performing sentiment analysis, and extracting insights from text using SAS Text Miner.
Preparing data for analysis by handling missing values, outliers, and formatting issues using SAS functions and procedures.
Introduction to SAS Viya for big data analytics, processing large datasets, and performing distributed computing.
Performing exploratory data analysis to identify patterns, correlations, and insights from datasets using SAS.
Applying SAS analytics skills to real-world case studies and projects, demonstrating proficiency in data analytics techniques.
Building predictive models using techniques such as regression analysis, decision trees, and logistic regression in SAS.
A Data Analytics with SAS training program offers specialized training in data analysis, statistical modeling, and machine learning using SAS software for business intelligence and decision-making.
This program is ideal for data analysts, business analysts, statisticians, and professionals seeking to enhance their skills in data analytics using SAS.
The program covers data manipulation, descriptive statistics, data visualization, predictive modeling, hypothesis testing, time series analysis, machine learning, text analytics, and big data analytics using SAS.
While prior analytics experience can be beneficial, the program is designed to accommodate learners with varying levels of experience, from beginner to advanced.
Graduates can pursue careers as data analysts, business analysts, data scientists, statistical analysts, and machine learning engineers in various industries such as finance, healthcare, retail, and marketing.
Yes, Data Analytics with SAS is suitable for beginners, and the course is designed to help you learn from scratch. You will start with the basics of SAS programming, data manipulation, and statistical analysis, and gradually progress to more advanced topics. The course provides step-by-step instructions, hands-on practice, and real-world examples to ensure that even beginners can grasp the concepts.