Technical Data Analyst Training
Technical Data Analyst training is primarily designed to allow individuals to analyze and understand complicated data sets utilizing various tools and software. SAS (Statistical Analysis System) training teaches users to use SAS software for data management, advanced analytics, business intelligence, and predictive analytics.
- 10+ Courses
- 30+ Projects
- 400 Hours
Target Audience
Technical Data Analyst Training is suitable for the following target audiences:
Data Management: Learn how to efficiently import, clean, and alter data with SAS.
Statistical Analysis: Learning statistical tools to get insights and make data-driven judgments.
Advanced Analytics: SAS is used to do advanced analytics activities like predictive modelling and forecasting.
Business Intelligence: Business intelligence entails creating reports and dashboards to illustrate data patterns and insights.
Programming Skills: Learn SAS programming languages such as SAS Base and SAS Macro.
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Job Opportunities in the United States and Canada
The demand for Technical Data Analysts with SAS abilities is strong across various industries, including banking, healthcare, retail, and technology. Some specific job roles are:
Data Analyst: Analyzing data, creating reports, and offering actionable insights.
Business Analyst: Corporate analysts use data to detect corporate trends, opportunities, and hazards.
Statistical Analyst: Statistical Analysts use statistical tools to evaluate data and interpret outcomes.
Market Research Analyst: Market Research Analysts use data analysis to study market dynamics and customer behavior.
Healthcare Data Analyst: Examining healthcare data to improve patient outcomes and operational efficiency.
These professions frequently require a combination of technical capabilities (such as SAS expertise) and analytical talents to effectively understand data. Job prospects vary depending on region, industry trends, and individual employer requirements, but there is generally a high demand for skilled data analysts across the United States.
“Are you prepared to investigate prospects in Technical Data Analyst Training? Speak with one of our knowledgeable staff members right now. They will offer tailored advice and information about our Technical Data Analyst Training. Take the first step towards a rewarding career in Technical Data Analyst technology. Get in touch with us right now!”
Curriculum:
- Role of a Data Analyst vs. Data Scientist
- Overview of the Data Analytics Life Cycle
- Business Understanding and Problem Framing
- Introduction to Key Metrics and KPIs
- Hands-on: Analyzing simple business data with Excel/Google Sheets
- Formulas, Functions (VLOOKUP, IF, INDEX-MATCH)
- Pivot Tables and Charts
- Data Cleaning in Excel
- Dashboard Creation Basics
- Hands-on: Building a dynamic report
- Relational Databases Overview
- Basic SQL Queries (SELECT, WHERE, JOIN, GROUP BY)
- Data Filtering, Sorting, Aggregation
- Nested Queries and Subqueries
- Hands-on: Queryingsample databases (e.g., HR, Retail)
- Introduction to Power BI / Tableau
- Connecting to data sources
- Building Dashboards
- Visual Best Practices
- Publishing and Sharing Reports
- Python Basics: Variables, Data Types, Loops
- NumPy and Pandas for Data Manipulation
- Data Cleaning (Handling Nulls, Duplicates, Formatting)
- Exploratory Data Analysis (EDA)
- Data Types & File Formats (CSV, JSON, Excel, APIs)
- Handling Unstructured/Incomplete Data
- Merging & Transforming Datasets
- Introduction to Regular Expressions
- Hands-on: Clean and combine multiple data sources
- Descriptive Statistics (Mean, Median, Mode, Std Dev)
- Probability Distributions
- Hypothesis Testing & Confidence Intervals
- Correlation vs. Causation
- Hands-on: A/B Testing Scenario
- Capstone Project Kickoff
- Data Sourcing, Cleaning, Analysis & Dashboard
- Resume & LinkedIn Optimization for Data Roles
- Mock Interviews & Portfolio Tips
- Final Project Presentation & Certification
Student Reviews
“My transition as a data analyst was made possible by this training . Everything from Excel and SQL to Python and Power BI was covered in the hands-on curriculum. I was able to develop a strong portfolio thanks to the practical assignments and capstone project. The teachers were personable and simplified difficult subjects. A few weeks after finishing the course, I got my first analytics job!”
“When I joined this program I was concerned about learning Python and SQL but the instructor made it very engaging. Making dashboards in Power BI was a pleasure for me, therefore I really liked the visualization module. If you desire project-based learning and practical skills, I highly recommend this course.”
Frequently Asked Questions
The program runs for 2 months (8 weeks) with a structured weekly curriculum covering technical and analytical tools, project work, and job readiness.
No prior experience is required. The program starts with basics and gradually builds up to advanced tools. However, basic computer skills and a willingness to learn are recommended.
You will gain hands-on experience in:
- Excel/Google Sheets
- SQL
- Python (Pandas, NumPy)
- Power BI or Tableau
- Jupyter Notebook
We currently offer online sessions with flexible weekday/weekend batches. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
Yes! You’ll work with industry-relevant datasets from domains like e-commerce, healthcare, finance and marketing. You’ll also complete a capstone project at the end.
Yes, you’ll receive a Certificate of Completion from Checkmate IT Tech, which you can add to your resume and LinkedIn profile.
You can register via our website https://checkmateittech.com/, or reach out to our support teams via phone, email, or WhatsApp. We’ll help you with batch schedules and payment options.
Email info@checkmateittech.com Call Us +1-347-4082054