Course Includes:
- Price:₹ 4499
₹ 7999 - Instrutor:Industrial Expert
- Duration:30-45 Days
- Lessons:15+
- Enrolled:588+ students
- Language:English - Hindi
- Certificate and LOR:yes
Course Description
This Data Analytics course is designed for learners of all levels—no prior experience required. Whether you are just starting or looking to deepen your understanding, this course covers the full spectrum of data analytics, from basic concepts to advanced techniques. Taught by industry experts with experience from top-reputed organizations, this course provides a solid foundation in data analysis and equips you with the skills needed to extract meaningful insights from data.
You’ll start by learning data collection and cleaning, then progress to data visualization, statistical analysis, and advanced machine learning models. The course also covers tools like Excel, SQL, Python, and popular analytics libraries like Pandas and Matplotlib, all integrated with hands-on exercises and real-world projects.
What You’ll Learn?
- Data Fundamentals
- Data Visualization
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Advanced Analytics
- Querying and manipulating data from databases
- Tools & Technologies
By the end of this course, you’ll be equipped to analyze, visualize, and interpret data to make data-driven decisions. Whether you are looking to enhance your skills for a career in data science, business intelligence, or analytics, this course will provide the expertise needed to succeed in the rapidly growing field of data analytics.
Course Curriculum
This Data Analytics course, suitable for beginners and advanced learners alike, covers the complete spectrum of data analysis. Starting with foundational topics like data collection, cleaning, and transformation, you’ll progress to data visualization, statistical analysis, and machine learning techniques. Learn to work with tools like Excel, Power BI, Python (Pandas, Matplotlib), and SQL. The course includes hands-on exercises and real-world projects to help you gain practical experience in extracting insights from data, identifying trends, and making data-driven decisions. Taught by industry experts, this course prepares you for careers in data science and analytics.
Week 1-6
- Introduction and Overview
- Data Fundamentals: Data collection, cleaning, and transformation techniques
- Data Visualization: Creating impactful charts, graphs, and dashboards with tools like Excel, Power BI, and Python
- Exploratory Data Analysis (EDA): Identifying patterns, outliers, and trends in data
- Statistical Analysis: Descriptive and inferential statistics, hypothesis testing, and probability
- Advanced Analytics: Machine learning models for classification, regression, and clustering
- SQL for Data Analysis: Querying and manipulating data from databases
- Tools & Technologies: Python (Pandas, NumPy, Matplotlib), Excel, Power BI, and SQL
Course Rating
4.8 average rating based on 219+ rating
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