10 Top Data Analyst Certification For Beginners 2022!Data analysts are in high demand and have a promising future. According to the U.S. Bureau of Labor Statistics, data analysts can anticipate many new career possibilities with competitive compensation from both small and large businesses through 2028.
In reality, there is no one definition of what it means to be a data analyst. However, there are skills and expertise that are necessary for good data management.
If you’re interested in becoming and acquiring Data Analyst Certification For Beginners and gaining a deeper grasp of data to assist you in making strategic business decisions, then check out these certification programs intended particularly for data analysts.
From SQL programming fundamentals to Tableau data visualization techniques, these Data Analyst Certification For Beginners will provide you with a solid foundation in data analysis and educate you how to leverage data to drive any organization. Start your education now.
Without prior experience or a relevant college degree, data analytics certifications can help you acquire a high-paying career in the Data Analytics and Data Science fields.
To assist you locate Data Analyst Certification For Beginners that are worth your time and money, we have analyzed and ranked the top Data Analyst Certification For Beginners. These certification courses will help you develop the skills, techniques, and methodologies necessary for a successful data analyst profession.
List of Top Data Analyst Certification For Beginners
The following is a list of Top Data Analyst Certification For Beginners:
1. Data Analyst Professional Certificate (IBM)
Data Analyst Certification For Beginners
COURSES
- Fundamentals of Data Analytics: Have a fundamental understanding of the data ecosystem. Learn about the lifecycle of data analytics and apply Excel spreadsheets to perform some simple analytics.
- Data Visualization and Building Dashboards:This course is meant to present you with the core tools and skills required to develop data visualizations, dashboards, and reports utilizing IBM Cognos Analytics.
- Analyzing Data with Python: Learn how to analyze data using the powerful SciPy library and Scikit-learn package in Python.
- Analytics and Visualization of Data Capstone Project: Using a project linked with the IBM Data Analytics and Visualization Capstone Project course, demonstrate your abilities and knowledge. As part of the Capstone project requirements, you will interface with real-world data and address issues.
| Instructor | IBM |
| Duration | 10 months (2 – 4 hours per week) |
| Certification | Data Analyst Professional Certificate |
| Coursework | 9 skill-building courses |
| Skills Acquired | Python, SQL, Matplotlib, Seaborn, Folium, Jupyter Notebooks, Numpy, Pandas, and IBM Cognos Analytics |
2. Data Analyst Nanodegree (Udacity)
Data Analyst Certification For Beginners
You have some programming skills, but you believe you need additional training before you can tackle complex datasets and data analysis projects. If you answered yes, then the Udacity Data Analyst Nanodegree is for you.
In this course, you will utilize Python, SQL, and statistics to discover insights and present your findings. You will be able to manipulate, examine, analyze, and transmit data using libraries such as NumPy and Pandas after completing this program.
COURSES
- Introduction to Data Analysis: Learn how to use Python to handle and analyze data with NumPy and Pandas tools. Gain better familiarity with SQL by gaining practical experience exploring weather trends in a project.
- Practical Statistics: Acquire a deeper grasp of the statistical approaches employed by the data science community and how they are implemented in practice via A/B tests and supervised models.
- Data Wrangling: Learn how to collect and manipulate data using Jupyter Notebook to prepare it for analysis and visualization.
- Data Visualization with Python:Get fresh insights from your data using Python for data visualization. Learn how to make the most of your data using Python and display it to reveal hidden patterns, elicit fresh insights, and tell a story.
| Instructor | Udacity |
| Duration | 4 months (10 hours per week) |
| Certification | Data Analyst Nanodegree |
| Prerequisites | Python & SQL |
| Skills Acquired | Python, SQL, Jupyter Notebook, NumPy, Pandas, A/B testing, and Supervised Learning |
3. Data Analyst with Python (DataCamp)
Data Analyst Certification For Beginners
- Python for Data Science: Acquire the abilities necessary for the success of data scientists. Learn the fundamentals of Python and how to manipulate data using Pandas without any prior knowledge.
- Data Visualization: Acquire the skills necessary to generate engaging and informative data visualizations with Matplotlib. Create versatile visualizations in Python with the Seaborn package, which is built upon Matplotlib.
- SQL and Exploratory Data Analysis: Learn how to construct a relational database that accurately reflects real-world data, as well as how to move, alter, and analyze data using SQL and exploratory studies.
- Python and SQL Projects: As you go through the curriculum, you will complete a variety of projects. Utilize, for example, Twitter’s streaming API, the Stanford Open Police Project, and Titanic data!
| Instructor | DataCamp |
| Duration | 66 hours |
| Certification | Data Analyst with Python |
| Coursework | 17 Skill-Building Courses |
| Skills Acquired | Python, SQL, Pandas, NumPy, Matplotlib, and Seaborn |
4. Data Analyst in Python (Dataquest)
Data Analyst Certification For Beginners
COURSES
- Beginner/Intermediate Python Programming: Master loops, conditions, data types, functions, and packages such as Pandas and NumPy.
- Data Visualization: This course is the ideal companion to Dataquest’s Data Science course. It will teach you how to create beautiful data visualizations that tell a captivating tale. using Matplotlib.
- SQL Fundamentals: Learn how to use SQL to manipulate databases and retrieve data from them. You will also learn how to use APIs, web scraping, and business analytics in Python.
- Statistics Fundamentals: Obtain a thorough understanding of a variety of statistical concepts, including sampling, distribution, variability, z-scores, and probability theory.
- Version Control: Get your hands dirty, learn how Git can be useful, and gain a deeper understanding of the version control system that is vital in the area of data science, enabling you to interact with your team more efficiently.
| Instructor | Dataquest |
| Coursework | 24 skill-building courses |
| Certification | Data Analyst in Python |
| Level | Beginner/Intermediate |
| Skills Acquired | Python, SQL, Web scraping, APIs, Git, Jupyter Notebooks, Pandas, NumPy, and Matplotlib |
5. Data Analytics Professional Certificate (Google)
Data Analyst Certification For Beginners
Google has developed the Data Analytics Professional Certificate to assist anyone interested in data science and pursuing a career in the field of computer science. This credential is ideal for students who want to enter the industry but have no programming expertise, as it is designed for beginners. This eight-course certificate program can help you launch a successful career as a data analyst.
COURSES
- Data Analysts Overview: Learn what it means to be a data analyst and how they utilize techniques and procedures to facilitate their work.
- Analyzing Data: This course will teach you how to utilize tools such as spreadsheets, SQL, R programming, and Tableau in your daily work.
- Data Management and Organization: Gain a comprehensive understanding of using SQL and R to manage data. This course is intended to offer you the skills necessary to interpret your data and plan your workflow.
- Visualize Data: You will learn how to use data to make better decisions and how to successfully convey your results through data visualization.
- Capstone Project and Case Study: The Capstone course will give you a competitive edge. You will learn how to get actionable insights from your data and apply those insights to make good decisions.
| Instructor | |
| Duration | 6 months (10 hours per week) |
| Certification | Google Data Analytics Professional Certificate |
| Level | Beginner |
| Skills Acquired | R Programming, SQL, Tableau, Tidyverse, RStudio, and R Markdown |
The Complete Data Analyst Bootcamp is one of the more intensive courses for aspiring data analysts, promising a crash course in everything you need to know to become a pro.
You will learn both basic and advanced Python techniques, as well as how to utilize a variety of tools and files as a data scientist. You will also receive instructions on how to install the Anaconda software required for the lessons, which requires no prior knowledge.
This course focuses only on the fundamentals required for success in an entry-level position.
Learning
The Complete Data Analyst Bootcamp, designed by 365 careers, educates novices to grasp data in a data analytics profession. You will learn how to acquire relevant information from APIs using simple scripts and apply NumPy skills through a comprehensive loan data case study.
Practicing with actual data, you will build the skills necessary to work with data cleaning and analytical tools on a daily basis through countless hands-on training opportunities.
By the end of this course, your resume will be filled with in-demand data abilities, such as Python programming, data collecting, pre-processing, and data visualization. Among the subjects covered are:
- The creation of histogram, scatter, line, and bar graphs.
- Python for beginners and experts, as well as NumPy and pandas.
- How to clean and prepare unprocessed data for analysis.
- How to operate within text documents
Charge and Duration
Access to the Udemy course costs a total of $99 and should take approximately 21 hours to finish. You are free to distribute these hours as you see fit, and there are extra resources accessible for download and perusal during your leisure time.
7. Data Analytics Course Online (Brain station)
Data Analyst Certification For Beginners
BrainStation’s Data Analytics Course is designed for professionals with a foundational understanding of data science and analytics. It enables professionals to advance their skills and develop their abilities.
You do not need a comprehensive understanding of data analytics to enroll in this course, as there is an introductory unit on data analytics foundations. However, it is recommended that you have a fundamental understanding of data analytics and data science.
The project-based, hands-on learning environment is great for working with various sorts of data and expanding skill sets.
Learning
The online Data Analytics Course begins with an introduction to data analytics using Excel and teaches students advanced problem-solving methodologies and ideas. You will learn how to locate high-quality data sources, purify raw data, and decrease bias.
Real-world tasks will help you learn more about MySQL and how to build SQL queries as you advance through the course. The course introduces ideas such as structuring and optimizing data sets and more efficient data management.
At the conclusion of this course, you will also be able to show the data you’ve gathered in the form of graphs and charts. You will learn to:
- Tableau is a tool for highlighting key data insights.
- Construct persuasive dashboards and visualizations for business users
- Create a portfolio project utilizing data analytics
Charge and Duration
The BrainStation data analytics course, which costs $3950 in total, is offered with a variety of scholarship options and flexible payment options. You can also receive sponsorship from your employer or pay your cost in monthly installments. This course takes around 10 weeks to complete.
8. Online Data Analytics Certificate (eCornell)
Data Analyst Certification For Beginners
Chris Anderson, a professor at Cornell, teaches students through the Online Data Analytics Certificate from eCornell, where they learn how to successfully collect data and apply it to make crucial business choices.
The sessions address scientific approaches for data analysis and are designed for persons with a background in statistics or who often work with raw data.
Using a combination of video education and hands-on practice, this certification in data analytics will prepare you to make informed decisions based on facts.
Learning
Beginning with an introduction to analyzing and displaying data, the Online Data Analytics certificate builds on your existing knowledge of Excel and statistics. You will learn how to use helpful tools and reference papers to respond to crucial questions posed by company leaders.
After learning how to properly exploit data, you will be given advise on how to apply data into scientific decision-making. In addition, the course addresses the application of revolutionary new data analytics methodologies, such as predictive analytics.
As you advance through the training, you will acquire the skills to:
- Gather and organize information for functional analysis
- Create and validate regression models for decision-making
- Create dashboards that employ graphics to enhance your comprehension of business circumstances.
- Business questions should be formulated as scientific hypotheses.
Charge and Duration
This eCornell Data Analytics certificate program costs $3,600 and includes a Cornell University completion certificate. It will take approximately 9 weeks to finish the course, which will be divided into three 3-week chunks covering the course’s primary components.
Cornell suggests devoting between three and five hours each week on your learning objectives.
9. Data Analytics Program (Career Foundry)
Data Analyst Certification For Beginners
Unlike most data analyst training courses, Career Foundry’s Data Analytics Program provides an individualized approach to your study. After completing the training, you will receive individualized guidance from a career services team to increase your chances of landing a data analyst position.
Although this course is entirely online and adaptable to your needs, you will have access to a data analytics mentor with whom you may discuss the life of a data specialist.
As you progress through the courses with your instructor’s guidance, you will also create a portfolio to demonstrate your talents to prospective employers.
Learning
The Data Analytics curriculum provides all of the knowledge necessary to become a data analyst. You will begin with an introduction to data analysis and the methods used by professionals to sort databases and statistics.
The course introduces standard data tools such as Excel and teaches you how to comprehend the many components of your data set.
You will also receive a detailed guide on data gathering and summarization, data visualization, and working with Python. As you advance, you will learn how to:
- Utilize machine learning instruments to develop intelligent applications.
- Explore huge data and acquire data from different environments
- Analysis with relational databases and SQL
- Present findings to stakeholders and develop visual representations
Charge and Duration
Career Foundry’s Data Analytics Program costs $6175 and takes around 8 months to finish. If you are unsure whether the program is right for you, you may contact a program advisor for a free consultation or complete the 5-day data analytics crash course for free.
10. CompTIA Data+
Data Analyst Certification For Beginners
The CompTIA Data+ certification offers comprehensive training to prepare you for a job in data science and data analytics.
The certification teaches individuals in the early stages of establishing a new career in data analytics how to analyze and understand data in a variety of situations.
You will learn how to convey insights to stakeholders, exhibit data literacy, and change data with common tools and applications.
Learning
The CompTIA Data+ course provides students with a complete, step-by-step introduction to every stage of data analytics, from identifying data ideas and settings to creating comprehensive report visualizations.
You will understand the purpose of various inferential statistical methods and experiment with data analytics tools throughout a series of entertaining sessions. CompTIA Data+ also provides essential data governance and quality management information.
As you continue through this course, you will acquire the skills to:
- Identify data formats and dimensions and differentiate data structures
- Collect and purify data for use in profiling data sets.
- Utilize relevant statistical techniques for various analytic jobs
- Create reports and dashboards from raw data for stakeholders.
Charge and Duration
The CompTIA course costs $349, which includes the cost of the certification examination. The duration of the course is around three months, and there is a countdown calendar to keep you on track.
FAQs About Data Analyst Certification For Beginners
Are certifications in data analytics worthwhile?
Certifications in data analytics are highly beneficial for anyone who wish to take advantage of the expanding data landscape and the lucrative opportunities available in this field. The typical annual salary of a data analyst is approximately $75,170, with the possibility of receiving cash incentives.
In addition, as a data analyst, you will be accountable for guiding countless businesses to success. In this immersive role, you will have the opportunity to uncover hidden patterns and trends in the data produced daily by businesses.
Is data analytics a good career in 2022?
Yes, data analytics is a very good career. Simply put, there has never been a better time to be a data professional. About 2.5 quintillion bytes of data are created every day—and that pace is only quickening.
Can I become data analyst in 3 months?
Ans: Make the most of your three months and learn everything you can. Because time is limited, the emphasis should be on learning Excel, SQL, R/ Python, Tableau/ PowerBI, and ML if time allows. Investing your time in projects will also give you an advantage when applying for jobs.
Can data analyst work from home?
Yes, absolutely. If you want to work remotely as a data analyst, all you need is a laptop, your favorite analysis/visualization tools, and of course a remote-friendly job.
Conclusion Data Analyst Certification For Beginners
The demand for data analysts is soaring and will increase at a rapid rate. Not only are data scientists in high demand, but they also have lucrative careers.
Moreover, data analysts are the lifeblood of any corporation since they facilitate strategic decision-making for organizations of all sizes.
You are welcome to enroll in any of the data analyst training programs that we have evaluated today. This will lay the groundwork for other data-related disciplines, such as Data Science and Data Engineering.
If you want to enter the profession of data science but lack the skills to properly comprehend it, you can get started today by enrolling in one of the following training courses. Otherwise, consult the list below to begin your data science education.
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