Data Analytics
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became Data Analytics with Tech Enginer
Our instructors are experienced data analysts with a passion for teaching and mentoring aspiring data professionals. They bring real-world expertise and insights into the classroom, ensuring that participants receive practical, industry-relevant training.pporting future web developers in their professional growth.
- ntroduction to Data Analytics
- Data Cleaning and Preparation
- Exploratory Data Analysis (EDA)
- Statistical Analysis and Hypothesis Testing
- Predictive Modeling and Machine Learning
- Data Visualization Techniques
For inquiries or to register for the course, please contact us via email or visit our website to complete the online registration form. Our team will be happy to assist you with any questions you may have and guide you through the registration process.
Instructor : Dyas Kardinal
Description
Our Data Analytics course is designed to provide you with the foundational skills and techniques needed to analyze and interpret data effectively. Whether you’re a business professional looking to leverage data for strategic decision-making or an aspiring data analyst seeking to enter the field, this course will equip you with the knowledge and tools to excel in data-driven environments. Through a comprehensive curriculum covering data visualization, statistical analysis, predictive modeling, and data mining techniques, you’ll learn how to derive actionable insights from complex datasets and drive informed business decisions.
Course Outline:
- Introduction to Data Analytics
- Data Cleaning and Preparation
- Exploratory Data Analysis (EDA)
- Statistical Analysis and Hypothesis Testing
- Predictive Modeling and Machine Learning
- Data Visualization Techniques
- Real-world Applications and Case Studies
Who Should Take This Course:
This course is ideal for individuals looking to enhance their data analysis skills and advance their careers in fields such as business, finance, marketing, healthcare, and more. It is suitable for professionals working with data or aspiring data analysts seeking to enter the field. No prior experience in data analytics is required, making this course accessible to learners at all levels.
Course Duration: 10 weeks (20 hours of total course time)
Additional Benefits:
- Hands-on projects and exercises to apply learning
- Access to industry-standard data analytics tools and software
- Expert guidance and feedback from experienced data analysts
- Networking opportunities with industry peers and guest speakers
Frequently Asked Questions
Our online classes are structured to provide a dynamic and interactive learning experience. Each session typically involves a combination of live video lessons, multimedia resources, group activities, and one-on-one interaction with the instructor. We emphasize practical usage of the language through conversation, listening exercises, reading comprehension, and writing tasks.
Yes, all our instructors are highly qualified and experienced in teaching their respective languages. They are native or near-native speakers with expertise in language instruction and often hold certifications such as TEFL (Teaching English as a Foreign Language) or equivalent qualifications in their language specialization.
You will need a stable internet connection, a computer or tablet with a webcam and microphone, and access to a web browser. We use a user-friendly online platform for our classes which requires no additional software installation.
duration : 60 minutes
lesson : 16 session
Skill levle : All level
Class : Online & Offline
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