Expert
Trilochan Tarai
Last Update
July 24, 2023
Review

5.0

Data Analytics Course Overview

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

5000.00
8000.00
% OFF

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