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Data Analytics

This comprehensive Data Analytics course offers a deep dive into the essentials of data analysis, from collection to predictive modeling. The course covers key concepts such as data cleaning, exploratory data analysis (EDA), basic predictive analytics, and introduces popular tools like Excel, Python (Pandas), and SQL. By the end, you will have hands-on experience in analyzing real-world datasets, building models, and presenting insightful findings.

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About the course

This comprehensive Data Analytics course offers a deep dive into the essentials of data analysis, from collection to predictive modeling. The course covers key concepts such as data cleaning, exploratory data analysis (EDA), basic predictive analytics, and introduces popular tools like Excel, Python (Pandas), and SQL. By the end, you will have hands-on experience in analyzing real-world datasets, building models, and presenting insightful findings.

What will you learn

  • Data Collection & Cleaning: Learn how to import, clean, and transform data using tools like Excel and Python (Pandas).

  • Exploratory Data Analysis (EDA): Gain skills in analyzing data using descriptive statistics and visualizations (charts, graphs).

  • Data Analysis Tools: Master Excel functions, basic Python for data manipulation, and SQL for querying databases.

  • Predictive Analytics: Understand basic machine learning concepts, including regression and classification models.

  • Capstone Project: Apply your skills to analyze a real-world dataset, build a predictive model, and present your findings.

Who is this for

This course is ideal for beginners in data analytics, business professionals looking to enhance their data-driven decision making skills, and anyone interested in
learning how to use data for problem solving and forecasting. No prior coding or statistical knowledge is required.

Highlights

Receive hands-on training with Excel, Python, and SQL, enabling you to work with real-world datasets and apply data analytics skills confidently.

Engage in a capstone project where you analyze a real-world dataset, practicing data cleaning, visualization, and interpretation in an applied setting.

Learn basic machine learning techniques, allowing you to build predictive models and make data-driven decisions.

Gain insights into practical use cases of data analytics across various industries, including healthcare, finance, marketing, and more.

Develop a comprehensive understanding of how data analysis is applied in real-world scenarios, preparing you for various career opportunities.

Eligibility

  • There is no eligibility criteria.

Pre-Requisites:

  • Basics technical knowledge

Syllabus:

Module 1-Introduction to Data Analytics
Module 2- Data Collection and Cleaning
Module 3-Exploratory Data Analysis (EDA)
Module 4- Introduction to Data Analysis Tools
Module 5- Basic Predictive Analytics
Module 6-Capstone Project and Practical Session
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About this course
Level

Beginner

Duration:

30 Hours

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Features
  • Cambtech Certification
  • Comprehensive Content
  • Industry expert instructors
  • Case studies and Real-world examples
  • Time flexibility
  • Cost-effective
  • Live sessions
  • Mentorship sessions
Mentorship
Live Sessions
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Partners