There are several different types of data analyst certifications including:
Certified Data Analyst (CDA): This certification program focuses on skills and knowledge needed to manage, analyze and interpret data to support organizational decision-making.
Microsoft Certified: Data Analyst Associate: This certification program is provided by Microsoft and covers skills and knowledge needed to work with data using Microsoft Power BI and Microsoft Excel.
IBM Certified Data Analyst: This certification program focuses on IBM’s tools and technologies for data analysis, including IBM Cognos Analytics and IBM SPSS Modeler.
SAS Certified Data Analyst: This certification program focuses on SAS software and covers skills and knowledge needed to analyze and interpret data using SAS tools.
Tableau Certified Associate: This certification program focuses on Tableau’s software for data visualization and covers skills and knowledge needed to create compelling visualizations using Tableau.
At Checkmate, our training curriculum covers all basic aspects of the above mentioned certifications as per the targeted audience. We prepare individuals to stand out in the job market and demonstrate their expertise in the field of data analysis.
Why are Data Analyst Certifications Important?
Enhance Career Opportunities
Data analyst certifications can enhance your career opportunities by demonstrating your knowledge and expertise in the field of data analysis. Employers are looking for individuals who have the skills and knowledge to effectively analyze and interpret data, and certifications can help you stand out from other job applicants.
Stay Up-to-Date with Industry Trends
Data analysis is an ever-evolving field, and it is important to stay up-to-date with the latest trends and technologies. By obtaining data analyst certifications, individuals can stay informed about the latest advancements in the field and ensure that they have the skills and knowledge necessary to effectively analyze and interpret data.
Increase Earning Potential
Individuals with data analyst certifications typically earn higher salaries than those without certifications. This is because certifications demonstrate a person’s commitment to their profession and their expertise in the field of data analysis.
Build Credibility and Trust
Data analyst certifications can help build credibility and trust among clients and colleagues. By demonstrating your knowledge and expertise in the field, you can establish yourself as a trusted and knowledgeable professional in the industry.Our training is developed and delivered by industry experts and are designed to meet the needs of the modern data analytics industry. Contact us today to learn more about our data analyst online training program and take the first step towards enhancing your career in data analytics.
Our training is developed and delivered by industry experts and are designed to meet the needs of the modern data analytics industry. Contact us today to learn more about our data analyst online training program and take the first step towards enhancing your career in data analytics.
- Introduction to Data Analytics Course
- Business Analytics with Excel
- Programming Basics and Data Analytics with Python
- Tableau Training
- Data Analyst Capstone
- Power BI
- Programming Refresher
- R Programming for Data Science
- SQL Training
- Final Project – Data Analytics
- Analytical Statistics
- Visualization of data
- Cleaning of Data
- programming in R
- Data Analysis
- Interpreting data
- Critical Analysis
- Management of databases
- manipulation of data
- Transformation of Data
- Statistical Analysis
- Integration of Data
- Machine Learning: Fundamental Ideas
Meet Your Mentors
Experience: Subhaish has worked as a Data Analyst for more than 8 years, and he is very good at what he does. He has worked in many different fields, such as business, finance, and healthcare. Joe knows how to use methods for visualizing data, analyzing statistics, and mining data. He loves turning raw data into useful insights that help people make decisions based on data. Insights into the Course: Joe's course will cover manipulating data, exploratory data analysis, and visualizing data using famous tools like Python, R, and Tableau. He will help students work on real-world data analysis projects that will show how data analytics is used in different fields.
Ryan Ramirez has worked as a Data Analyst for tech and e-commerce companies in the past. He has worked with big data sets, put machine learning methods to use, and built predictive models before. Ryan knows how to use advanced methods for analyzing data to find useful patterns and trends. Insights into the Course: During his training sessions, Ryan will dive into the world of data analytics, focused on predictive modelling, regression analysis, and machine learning. He will show how you can use data to make correct predictions and grow your business.
Experience: Shahryar Ali is a skilled Data Analyst who knows how to organize data and tell stories with it. He has worked with both new businesses and well-established ones, helping them get more out of their data. Shahryar is good at making complicated data analyses easy to understand and sharing them in a way that makes stakeholders want to listen. Insights into the Course: Shahryar course will focus on best practices for data cleaning, data preparation, and data visualization. He will show the power of data storytelling by showing how to explain analytical results to both technical and non-technical groups in a clear way.
Total Admission Fee
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
Career Services By Checkmate IT Tech
Frequently Asked Questions
Data Analysis involves collecting, processing, and interpreting data to extract meaningful insights and make informed decisions. Data Analysts are responsible for cleaning, transforming, and analyzing data to help organizations solve problems and drive strategic initiatives.
Data Analysis is crucial because it enables businesses to make data-driven decisions, identify trends, understand customer behavior, optimize processes, and gain a competitive edge in various industries.
Essential skills for a Data Analyst include proficiency in data manipulation using tools like Excel, data visualization using tools like Tableau or Power BI, statistical analysis, programming (e.g., Python, R), and strong problem-solving abilities.
While a background in mathematics or programming can be helpful, many Data Analyst courses cater to beginners and assume no prior knowledge. Basic math and logical reasoning skills are beneficial, and programming concepts can be learned during the course.
A Data Analyst course usually covers data preprocessing, data visualization, statistical analysis, hypothesis testing, regression analysis, data cleaning, exploratory data analysis (EDA), and introduction to relevant programming languages and tools.
Yes, we offer post-training support to help you successfully transition into the job market. This support includes access to resources, networking opportunities, help with resume development, and interview preparation.
The duration of a Data Analyst course is 2 months.
Data Analysts provide insights through data visualization, trend analysis, and statistical interpretation. They help organizations make informed decisions, optimize processes, identify growth opportunities, and address challenges.
After completing a Data Analyst course, you can pursue roles such as Data Analyst, Junior Data Scientist, Business Analyst, Marketing Analyst, or Market Research Analyst in industries like finance, healthcare, e-commerce, and technology.