Today, individuals and organizations produce huge amounts of data, hence the need to sort it using data analysis techniques. Therefore, data analyst roles are increasingly in demand.
Data scientists gather and analyze brand customer data to determine their preferences and help the organization make smart business decisions. If you want to become a data analyst, read on to find the best online courses to help jump-start your career.
1. Cloudera Data Analyst Certification
This course is an intensive four-day training in all the essentials of traditional data analytics and business intelligence, and how they apply to data. In other words, this course will provide you with the skills to access, analyze, and transform datasets using SQL and other data languages.
Upon completion of the program, you will become a professional at sorting databases, processing and analyzing structured and unstructured data. You will also be able to combine and manage databases, identify data structures and analyze window functions. The Cloudera learning website makes this course available to data analysts, system architects, business intelligence developers, and database administrators for €1,670 (about $1,673).
2. Harvard University Business Analytics Course
This program focuses on developing the data analytics skills of its learners, developing them in technical and analytical areas and helping them apply data findings to add valuable insights and advance business decisions.
Enrolled students will learn how to develop and test hypotheses, implement analytical techniques, recognize and summarize databases, and analyze data variables, all in eight weeks. The Harvard University Business Analytics course is available for $1,750.
3. Google Data Analytics Professional Certificate, Coursera
Enrolling in this entry-level professional training will help you understand the dynamics of data analytics, key practices, and processes, and prepare you to be job-ready in less than six months. The training prepares you for vital data analysis skills including; data cleaning, data visualization and data modifications using data tools such as SQL, R and table programming.
The course uses hands-on assessments, technical processes, and interactive videos to simulate real-world business scenarios and how data analytics helps improve business growth and success. You will also learn key practices for keeping data safe, the relationship between spreadsheets and datasets, and verifying cleansed data to verify data integrity. This course is free and available on the Coursera Learning website.
4. Business and data analysis with SQL, Skillshare
This course includes 38 in-depth lessons that cover databases, designing a data warehouse, and how to write queries using Structured Query Language (SQL). The website presents lessons you can learn at your own pace, with short lessons and hands-on projects that reflect likely challenges in data analysis and how to solve them.
The course leader will teach you management skills, everything you need to know about SQL, mining SQL databases, creating databases from scratch, and more. Upon completion of this course, you become a proficient SQL user and can adapt to any industry while adding value. You can sign up for the seven-day free trial on the Skillshare website.
5. Data Analysis with Excel for Beginners, Cloudswyft Global Systems
This intensive training is in association with Microsoft to teach data analysis from scratch using the key tools of Microsoft Excel. The course, in four main lines, looks at summarizing data by creating database tables with rows and columns in Excel for easy data access and exploration. Organizations use these generated databases to assess, organize, and report on business performance over time.
Additionally, Excel data analysis requires learners to understand formulas and how columns and rows work to create meaningful reports and aggregate data. The program runs for ten weeks and is available on FutureLearn for $39 per month with a seven-day free trial.
6. Data analysis using Python, Github
Data Analysis Using Python is a four-part course series on learning data analysis using the Python programming language. The course teaches basic programming skills in Python, effectively tackling data analysis tasks to increase efficiency, and applying Python to data analysis projects. This program is a beginner’s guide to learning data inspection, data visualization, and bickering in Python.
Python basics – Python 3, IPython surroundings, Jupyter notebook, data analysis packages, reading and writing files in Python plus weekly benchmarks to analyze scientific data – are available to the learner. Finally, there is a project on creating revealing data analytics that are graded based on effort, accuracy, and meeting all requirements.
7. Become a Data Analyst, Udacity
This course helps learners develop their skills in data analysis using Python, SQL, and statistics. Processes include data management, data mining, data visualization, and applying practical statistics to real business scenarios. Essentially, the expert explores the data to find information about trends in the data and draw conclusions about the information it contains.
The course lasts 17 weeks and is on Udacity at an affordable price.
8. Data Analytics Management, Johns Hopkins University
Data Analytics Management is a course with a comprehensive curriculum and practical schedule. This program provides key skills in analyzing data, managing the process, and guiding analytical approaches towards creating effective and practical results.
Upon completion, you will have gained in-depth knowledge of datasets and databases, basic data analysis iteration, communication and interpretation of data feedback within an organization and exploratory data analysis. The online website offers well-organized content with interactive videos, reading materials, and helpful videos to aid your learning process. This course lasts one week and is available free of charge.
9. Springboard Data Analysis Course
This four-week course requires no previous experience in the field. It develops learners from the ground up, teaching all the basics of data analysis to help them understand how analysis improves decision making.
Springboard data analysis is mentor-based to provide accurate guidance by identifying information and learning to make predictions for the foreseeable future. Additionally, mentors will teach you how to connect data using SQL and visualize data with basic Python examples that will help you learn quickly and communicate your analysis. Tuition is a one-time fee of $349.
Start your data analytics journey
Finally, if you need more convincing on why you should enroll in a data analytics course, note that almost every industry needs the services of a data analytics expert. So you can’t get stuck. In addition, due to the high demand for experts in this field, the salary is constantly increasing.
Even better, you become a central and vital member of every organization by influencing the decision-making process of the organization. These courses are highly recommended, worth your time and effort, and will prepare you for future professional roles.