Course Overview
Data Analytics is the art of examining raw data to find trends, patterns, and insights that help businesses and organizations make informed decisions. This course introduces students to data collection, cleaning, visualization, and analysis using popular tools and programming languages. Students will gain practical skills to handle real-world data challenges.
Why Enroll?
✔️ Gain practical skills in analyzing large datasets.
✔️ Learn to use tools like Python, Excel, SQL, and Tableau for data analysis.
✔️ Make informed decisions backed by data insights.
✔️ Enhance problem-solving and logical reasoning abilities.
✔️ Build a strong foundation for data-driven careers.
Who can choose?
✔️ CSE students interested in data, statistics, and technology.
✔️ Beginners with little or no prior experience in analytics.
✔️ Students aiming for a career in IT, business analytics, or data science.
✔️ Anyone passionate about understanding patterns and trends in data.
What You’ll Learn?
✔️ Basics of data collection, cleaning, and preprocessing.
✔️ Data visualization techniques to represent information clearly.
✔️ Statistical analysis and interpretation of datasets.
✔️ Hands-on experience with Python libraries, Excel, SQL, and Tableau.
✔️ Practical projects to solve real-world data problems.
Career path
✔️ Data Analyst
✔️ Business Intelligence Analyst
✔️ Data Scientist (advanced learning after this course)
✔️ Machine Learning Engineer
✔️ Business Analytics Consultant
This course equips students with the analytical mindset and technical skills needed to thrive in the growing field of data analytics.
