Data Science Course for Working Professionals: How to Choose the Best One?
A report by The Times of India states that by 2025, the volume of global data will be 180 zettabytes. The increasing amount of data demands professionals who are capable of using it effectively. Hence, the role of a data scientist is fundamental. They collect, analyze, and present data in a way that helps businesses drive change and solve complex problems. For working professionals planning to build a successful career in this booming field, choosing a good data science course for working professionals is the best decision to make. It will help them achieve rapid career advancement.
Learners must take the best data science courses that build their expertise through concepts and real-world cases. Interestingly, Emeritus offers an array of data science courses for working professionals and fresh graduates at different stages of their careers. Read ahead to learn how Emeritus data science courses for working professionals can help build a successful career.
What are the Main Topics Covered in a Data Science Course for Working Professionals?
In a data science course for working professionals, learners will build a strong foundation in data science. Additionally, aspirants will learn about different data science tools and techniques. Understanding these fundamentals helps learners demonstrate their skills and competency to prospective employers.
Here are the main topics a data science course covers for working professionals.
- Data Engineering: It is the practice of designing and building systems for data collection and analysis. A strong foundation in data engineering helps aspirants build systems that make data accessible for evaluation.
- Data Cleaning: It is the process of preparing different data points for analysis. In this process, data scientists filter out the incorrect, corrupt, duplicate, or incomplete data points within a dataset. Strong knowledge of data cleaning helps aspirants lead data analysis and derive better results.
- Data Visualization: It refers to the process of presenting data in a digestible format. Being good with data visualization helps learners present data visually appealingly.
- Data Analysis: It is the process of evaluating data using statistical tools. The main aim of data analysis is to unearth useful information by discovering patterns and trends.
- Machine Learning: It is a branch of artificial intelligence that focuses on developing virtual systems that can learn and interact without any human intervention. Learners with sound knowledge of machine learning can thrive in the current marketplace.
- Big Data refers to large and complex datasets that are hard to analyze using traditional data processing techniques. Big data contains a wealth of information, and solid knowledge helps learners become valuable assets.
Besides the above-mentioned topics, Emeritus’ data science course for working professionals also includes :
- Data clustering
- Artificial intelligence
- Deep learning
- Time series forecasting
- Exploratory data analysis
ALSO READ: The Importance of Data Science Courses for Success as a Professional
How Can Taking a Data Science Course Help Advance Your Career?
The Future of Jobs Report 2023 states that there will be increased technology adoption across industries, which will significantly affect business operations. The report underlines big data analytics, artificial intelligence, cloud computing, robotics, and cybersecurity as technologies that can take over the business world in the next five years.
If you are planning to build a career in data science, here are a few reasons why taking a data science course for working professionals can help with career advancement.
- Learn how to clean, optimize, and interpret raw data using cutting-edge data science tools. Also, gain mastery in Python, Excel, and other data analysis tools.
- Develop the skills required to make data-driven business decisions. Additionally, develop data science and analytics teams at the organization.
- Gain in-depth knowledge of data structure, analysis, machine learning algorithms, and statistical concepts required to make strategic business decisions.
- Develop an in-depth understanding of popular data science and analytics methods like regression, clustering, decision trees, and deep learning. And how to use these methods for effective data collection, analysis, and interpretation.
What Skills and Tools Can You Learn in a Data Science Course?
A data science course for professionals helps learners develop in-demand data science skills like math and statistics, Tableau, problem-solving, Excel, and business storytelling. Learners can acquire these skills via real-world case studies, action learning projects, and guest lectures from industry experts.
Furthermore, the learning curriculum introduces learners to common data science tools like Project Jupyter, Python, Tableau, Power BI, and R. A strong understanding of these tools can advance learners’ data science and machine learning capabilities to extract data-backed insights.
ALSO READ: What is Data Science – Meaning and Career Opportunities
How Long Does it Take to Complete a Data Science Course?
The duration of data science courses can vary depending on the course’s complexity and focus required. While a few courses can be completed in a few weeks, others could take months. Therefore, it’s wise to review the course details before enrolling. The course details will generally contain information regarding the duration, time commitment, eligibility criteria, and other prerequisites.
