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Unlock valuable insights from data using advanced analytical techniques for informed decision-making.
Data Analytics involves the process of collecting, processing, and analyzing data to extract meaningful insights, support decision-making, and identify trends. It leverages statistical tools and techniques to transform raw data into actionable information for business and research purposes.
The Data Analytics course provides a comprehensive introduction to the principles and practices of analyzing data. It covers essential topics such as data collection, cleaning, and preprocessing, along with core analytical techniques like statistical analysis, data visualization, and trend identification. Learners will explore advanced methods for extracting actionable insights, using tools and technologies commonly applied in business analytics. The course combines theoretical understanding with practical, hands-on projects to equip students with the skills required for real-world data analysis and informed decision-making.
Data Analytics Certification Key Features
Hands-on projects to apply real-world data analysis skills.
In-depth training on data collection, cleaning, and preprocessing.
Focus on statistical analysis, trend identification, and data visualization.
Expert-led sessions by industry professionals with practical insights.
Exposure to industry-standard tools like Excel, SQL, and Python for analytics.
Real-time support and query resolution during the course.
Lifetime access to course materials and updates for continuous learning.
Certification upon successful course completion to boost your career profile.
Comprehensive coverage of data analytics concepts, from basics to advanced techniques.
Data Analytics Course Curriculum
1
Module-1
Python Basics
Python Variables, Data types, & Operators
Python Flow Control
Python Function
Python String Handling
2
Module-2
Data analysis with pandas
Data analysis with numpy
Data visualization with Matplotlib & Seaborn
3
Module 3 - Importing Datasets
Learning Objectives
Understanding the Domain
Understanding the Dataset
Python package for data science
Importing and Exporting Data in Python
Basic Insights from Datasets
4
Module 4 - Cleaning and Preparing the Data
Identify and Handle Missing Values
Data Formatting
Data Normalization Sets
Binning
Indicator variables
5
Module 5 - Summarizing the Data Frame
Descriptive Statistics
Basic of Grouping
ANOVA
Correlation
More on Correlation
6
Module 5 - Summarizing the Data Frame
Descriptive Statistics
Basic of Grouping
ANOVA
Correlation
More on Correlation
7
Module 6 - Model Development
Simple and Multiple Linear Regression
Model Evaluation Using Visualization
Polynomial Regression and Pipelines
R-squared and MSE for In-Sample Evaluation
Prediction and Decision Making
8
Module 7 - Model Evaluation
Model Evaluation
Over-fitting, Under-fitting, and Model Selection
Ridge Regression
Grid Search
Model Refinement
Capstone Projects
Data Analytics Exam & Certification
Certificate to be Added Soon
Data Analytics Courses Reviews
Rohit Nath
Bhubaneswar
This course gave me the confidence to analyze data effectively. The projects were highly practical, and I can now visualize data trends with ease.
Soumya Kumar Sahoo
Bhubaneswar
The content was well-structured and easy to follow, even for someone new to analytics. The hands-on exercises really helped solidify the concepts.
Amar Kumar Sahoo
Bhubaneswar
Fantastic course! The real-world applications of data analytics were a game-changer for me. The certification added value to my resume.
Pooja Panigrahi
Bhubaneswar
The course provided a solid understanding of both basic and advanced analytics techniques. I highly recommend it to anyone wanting to dive into data analytics.
Aman Mohanty
Bhubaneswar
The hands-on projects made a huge difference. I now feel confident in using tools like Excel and Tableau for data-driven decision-making.
Data Analytics Certification FAQs
This course is ideal for beginners, professionals, and anyone looking to develop or enhance their data analytics skills.
No prior experience is necessary; the course starts with foundational concepts and progresses to advanced topics.
Yes, upon successful completion of the course, you will receive a recognized certification.
You will learn industry-standard tools such as Excel, SQL, Python, and data visualization platforms.
The course includes video lessons, hands-on projects, quizzes, and assessments to ensure practical learning.
Yes, you`ll have lifetime access to the course materials and any future updates.
The course typically takes a few weeks to complete, depending on your pace, with self-paced learning options available.
Yes, expert support is available throughout the course to help with any questions or challenges.
You will work on real-world projects focused on data analysis, visualization, and statistical insights to apply what you’ve learned.
Data Analytics Projects
Project to be Added Soon
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Thank you for reaching out. Our team will review your request and get back to you shortly with the details you're looking for. We appreciate your interest and will make sure to respond as quickly as possible."
Rohit Nath
BhubaneswarThis course gave me the confidence to analyze data effectively. The projects were highly practical, and I can now visualize data trends with ease.
Soumya Kumar Sahoo
BhubaneswarThe content was well-structured and easy to follow, even for someone new to analytics. The hands-on exercises really helped solidify the concepts.
Amar Kumar Sahoo
BhubaneswarFantastic course! The real-world applications of data analytics were a game-changer for me. The certification added value to my resume.
Pooja Panigrahi
BhubaneswarThe course provided a solid understanding of both basic and advanced analytics techniques. I highly recommend it to anyone wanting to dive into data analytics.
Aman Mohanty
BhubaneswarThe hands-on projects made a huge difference. I now feel confident in using tools like Excel and Tableau for data-driven decision-making.