Data analytics has been one of the most popular and exponentially growing fields of the Information Technology(IT) sector. If you’re thinking about learning data analytics, you must know that data analytics are not without its challenges, making it an exciting profession to pursue. Data analytics greatly relies on programming skills thus, it requires professionals to be well-versed with programming languages, such as R, and Python, Querying databases with SQL, probability and statistics, machine learning, and statistical analysis.
Learning data analytics requires building new skills, pushing through the rough patches, and increasing confidence to deal with massive data, which can be done by undergoing well-designed data analytics programs. The data analytics programs offered by leading institutes often make learning data analytics easy with expert faculties’ guidance. Many consider data analytics hard to learn because of the cross-disciplinary nature of the field, and it may not be easy for everyone.
Here’s what makes data analytics hard to learn:
- Requires mathematical skills: It is a STEM field that is very closely linked with mathematics which needs students to be good at maths to become well-rounded data analysts. Even though most math is done through algorithms and software, you must know how it works and how the results were analyzed.
- Advanced technical skills: Data analysts often use complex tools to deal with a massive amount of raw data, which will require strong technical knowledge. Advanced technical skills are the core of data analytics.
- Continuous learning: Data analytics is an evolving field with the latest development and industry trends and requires implementing new data analytics tools that can help identify the problem or measure the performance. Hence, with new tools, data analysts have to continue their learning.
- Research skills: Data analytics is not only about analyzing a given set of data to transform them into actionable insights but also about finding data from trustworthy sources. Strong research skills mean an individual must be versed with the ability to search, track, extract, organize, assess, and use the information to solve organizational problems. This is often a challenging aspect of data analytics.
What is the best way to learn data analytics?
There are ample free resources available on the internet, which is often beneficial, but the ideal way to prepare for a career in data analytics is by pursuing an industry-aligned data analytics program. One of the most significant advantages of learning data analytics through a course is learning from industry professionals. Moreover, the degree earned from pursuing a course demonstrates that you are qualified to work as a data analyst.
A well-designed career-oriented data analytics course from Toronto that integrates a Co-op semester can offer an opportunity to learn from the experts through project-based learning. Here what’s a diploma in data analytics Co-op program covers within the twelve-months duration:
- Data Design
- Data Handling and Decision Making
- Data Visualization and Interpretation
- Working with Data Using SAS and SQL
- Work Placement
Pursuing this data analytics program can help you break through the fast-growing IT sector. Even after completing the course, you will have to continue your learning as data analytics continuously evolves, so the learning never stops. This course can equip you with the competencies of a lifelong learner that can help you improve by polishing your existing skills and building new skills latest to the industry trends. So, take the next step and enroll in the data analytics program. Apply now!
