Data Analytics with SAS Course in Vadodara
BRIGHT Computer Education provides the Best Data Analytics with SAS Course in Vadodara. Above all, it is one of the best Data Analytics with SAS institutes in Vadodara.
- Multiple Course Options
- Professional Faculty
- Open Environment
- Job-Ready Students
- Affordable Fee-Structure
- Training with Modern Software
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Our Facts and Figures
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.
Course Highlights
Data Analytics with SAS
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.
SASÂ training in Vadodara is a software and is known as Statistical Analysis System. SAS was initially developed at North Carolina State University from 1966 to 1976. It was then the SAS institute was incorporated. Furthermore, it was developed in 1980s and 1990s and added new statistical procedures, additional components and introduction of JMP.
SAS training in Vadodara software can do multiple functions particularly including mining, altering, managing and retrieving data from a variety of sources. It can also perform statistical analysis on it. Furthermore, it provides a graphical point-and-click user interface for non-technical users.
THE SYLLABUS PARTICULARLY INCLUDES:
1. Overview of analytics
2. Introduction of SAS.
3. Combining and modifying datasets
4. PROC SQL
5. SAS Macros
6. Statistics basics
7. Statistical procedures
8. Data exploration
9. Advanced statistics
10. Working with time series data
11. Designing of optimization models
There are no prerequisites for this course. Therefore, anyone is eligible to apply for this course. At BRIGHT, we teach right from scratch up to the advanced level. Furthermore, we have excellent infrastructure and lab facilities to assist better learning.
At Bright Computer Education, we provide quality training with moderate fees. Furthermore, our trainers are certified experts with their hands on real time projects. We also assist in placement and interviews. For this purpose, we particularly have a team of HR experts to help you. Furthermore, there is also time flexibility at our Institute. We provide classes on weekdays and also on weekends along with fast track training classes.
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Course content :
Overview of data analytics, its significance in business decision-making, and introduction to SAS software for analytics.
Installation and configuration of SAS software, setting up data libraries, and navigating through SAS interface.
Techniques for data manipulation, data cleaning, filtering, merging, and transforming datasets using SAS.
Calculating descriptive statistics such as mean, median, mode, variance, and standard deviation using SAS procedures.
Creating visualizations such as histograms, scatter plots, box plots, and bar charts to explore data distributions and trends.
Preparing data for analysis by handling missing values, outliers, and formatting issues using SAS functions and procedures.
Performing exploratory data analysis to identify patterns, correlations, and insights from datasets using SAS.
Building predictive models using techniques such as regression analysis, decision trees, and logistic regression in SAS.
Evaluating model performance, validating results, and fine-tuning models for accuracy and reliability using SAS.
 Conducting hypothesis tests, analyzing statistical significance, and interpreting test results using SAS procedures.
Analyzing time-series data, forecasting trends, and detecting seasonality using SAS time series procedures.
Introduction to machine learning algorithms such as clustering, classification, and ensemble methods using SAS Enterprise Miner.
Analyzing unstructured text data, performing sentiment analysis, and extracting insights from text using SAS Text Miner.
Introduction to SAS Viya for big data analytics, processing large datasets, and performing distributed computing.
Applying SAS analytics skills to real-world case studies and projects, demonstrating proficiency in data analytics techniques.
Key Features
Limited Students
Flexible Batch Timing
Highly Qualified Trainers
Interactive Learning
Affordable Fees
Career Guidance
FAQ'S
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.
