Which data analytics course is best for beginners?
If you’re looking for the best data analytics certification online for beginners or for institutions that offer data analytics certification programs, we have compiled the best list for you.
From Google Data Analytics certification to the IBM Data Analyst professional certificate and many more including the Microsoft data analyst certification for beginners, you will find this post helpful in starting your career as a Data Analyst.
What is Data Analytics?
Data analytics is the process of analyzing data to extract information, insight, and knowledge. It provides a view of the past, present, and future using data and statistics. Data analytics can be used to spot trends, make predictions, and support decision-making. The term “data analytics” was first used in the mid-1960s.
Data analytics is different from data mining in that it focuses on the use of algorithms to discover patterns in large datasets, while data mining focuses on search techniques for uncovering hidden or unexpected relationships among variables.
Data analytics is also different from business intelligence (BI), which is defined as using technology in order to monitor performance, identify trends and make decisions based on them. BI can also be used for predictive analysis by evaluating historical data about customers or products in order to predict their behavior in the future.
Who is a Data Analyst?
In today’s world, data is everywhere. It is being created, collected, and analyzed at a rapid pace. There are many different types of data and each one can be used to make better decisions.
Data Analyst job description:
The role of a data analyst is to collect, analyze and interpret data from various sources. While this may seem like a simple task on paper, it can be very complex in practice. Data analysts must have excellent skills in computer science, statistics, and mathematics. They are also expected to have excellent communication skills as they need to work closely with management teams and provide them with relevant insights from their analysis.
Some of the key responsibilities of a Data Analyst include:
- Understanding business needs and goals
- Collecting data from various sources including social media channels and company websites
- Identifying patterns in the data using statistical methods such as correlation analysis or regression analysis
- Presenting findings via visualizations that include charts, tables, and graphs.
Data analytics is a booming field, and there are many certifications that can help you get started. Here are the best data analytics certification for beginners:
Data Analytics Certification For Beginners
#1. Google Analytics Individual Qualification (GAIQ)
Google Analytics Individual Qualification (GAIQ) is a qualification for people who want to learn more about how to use Google Analytics. It’s a self-paced course that takes around three hours to complete.
You’ll learn about the basics of Google Analytics and how to set up and manage accounts, views, goals, and custom reports.
GAIQ also teaches you how to use audience insights to improve your digital marketing campaigns. If you’re interested in learning how to utilize this powerful web analytics tool then this is definitely worth checking out.
#2. IBM Data Science Professional Certificate
If you’re looking to start your data science career, the IBM Data Science Professional Certificate is worth it and a great place to begin. It’s a three-course program that teaches you how to use Python and R in order to analyze and interpret data.
You’ll learn how to use machine learning models like linear regression, k-nearest neighbors, decision trees, and artificial neural networks for classification problems. You’ll also learn how these algorithms work by getting an introduction to statistical modeling, probability theory, and optimization methods like gradient descent.
The first course covers topics like exploratory analysis using notebooks, as well as designing experiences with real-time analytics on dashboards using Tableau software.
#3. Microsoft Professional Program in Data Science
Microsoft’s Professional Program in Data Science is a 4-course program that teaches students how to use machine learning and Data Analytics in the Azure platform.
The Microsoft Professional Program in Data Science consists of four courses, each with a duration of 5 days (plus an additional day for the final exam). Each course covers one aspect of data science, including statistics, predictive modeling, and machine learning.
In addition to the course curriculum, you’ll need access to Azure Machine Learning Studio (MLS) and/or Microsoft R Server (MRS) as well as SQL Server v2016 or newer to follow along with the lectures and complete your assignments.
There are no prerequisites for this certification; however, it is recommended that you have some experience with R or Python before attempting this certification path due to its focus on R programming language syntax.
Dataquest is an online course that teaches you the basics of data science. This is a useful certification if you’re just starting out and want to learn the basics before getting into more advanced courses.
The course begins with an introduction to Python, which is the language used in most data science tools. It then goes on to teach topics such as: how to use pandas (an open source library), SQL (Structured Query Language) queries, and machine learning tools like sci-kit-learn. During this process, you’ll also be given exercises so that you can practice what you’ve learned.
At the end of this course, there will be both a final exam as well as a capstone project where students have to create their own model using all the concepts learned throughout this certificate program!
#5. Cloudera Certified Associate (CCA) Data Analyst
The Cloudera Certified Associate (CCA) Data Analyst certification is designed for data analysts who want to work with data at the enterprise level. The CCA Data Analyst certification is for people who understand and can do basic analytics tasks using Apache Hadoop, such as querying, transforming, and visualizing data.
If you have experience working with Hadoop, this could be an excellent starting point for your career in Big Data Analytics.
#6. Certified Analytics Professional (CAP)
Certified Analytics Professional (CAP) is a professional certification for data science professionals. It is vendor-neutral, which means it covers the broad range of skills needed to succeed in any role in the data science field.
The CAP exam tests how well you can work with people, processes, and technologies to provide sound business-based analysis that adds value. The exam tests your knowledge and understanding of various topics, including data collection, modeling and analysis processes, the interpretation of results, and reporting/presentation methods.
#7. SAS Certified Big Data Professional
The SAS Certified Big Data Professional certification is the best certification for data analytics.
SAS is software that allows you to analyze large amounts of data and turn it into meaningful information. It’s used by many businesses and organizations, including Facebook, Twitter and Apple.
The best way to get started with SAS is by taking their certification test—it’s easy enough for beginners but also challenging enough to be rewarding when you pass it.
Data Analytics is one of the most lucrative career options to pursue in today’s world, especially because companies are always looking for qualified professionals to handle their data.
The field requires extensive knowledge and expertise, which means that only those who can prove their mettle will be able to stay relevant. With the right certification under your belt, you can add value not only within your organization but also throughout industries where data analytics plays an important role like finance or healthcare.