Our Data Analytics course at JP Tech Institute offers comprehensive training in data analysis techniques and tools. Gain expertise in data visualization, statistical analysis, and business intelligence. This course is designed to equip you with the skills needed to thrive in the field of data analytics.


Module 1: Introduction to Data Analytics

  • Introduction to Data Analytics
  • Role and importance of Data Analysts
  • Overview of Data Analytics tools and techniques

Module 2: Data Collection and Data Cleaning

  • Data Collection methods
  • Data Cleaning and Preprocessing techniques
  • Handling Missing Data and Outliers

Module 3: Exploratory Data Analysis (EDA)

  • Descriptive Statistics
  • Data Visualization using Matplotlib and Seaborn
  • Exploratory Techniques for Data Analysis

Module 4: Statistical Analysis

  • Probability and Distributions
  • Hypothesis Testing
  • Regression Analysis

Module 5: Data Mining and Machine Learning

  • Introduction to Machine Learning for Data Analytics
  • Supervised and Unsupervised Learning techniques
  • Clustering and Dimensionality Reduction methods

Module 6: Database Management and SQL

  • Introduction to Databases and Database Management Systems (DBMS)
  • SQL for Data Retrieval and Manipulation
  • Query Optimization and Database Administration

Module 7: Business Intelligence and Data Warehousing

  • Overview of Business Intelligence (BI) concepts
  • Data Warehousing and ETL (Extract, Transform, Load) process
  • Tools for Business Intelligence and Reporting (e.g., Tableau, Power BI)

Module 8: Big Data Analytics

  • Introduction to Big Data and Hadoop
  • Processing Big Data using Apache Spark
  • Real-time Data Analytics and Streaming Analytics

Module 9: Capstone Project

  • Real-world Data Analytics project
  • Problem statement definition
  • Data Analysis, Visualization, and Insights

Join Our Free DEMO CLASS

Join our demo classes at JP Tech Institute to see what we offer! We know it’s important to choose the right course, so we let you try a class first.

In these sessions, you can meet our teachers, see the course materials, and do hands-on activities related to the course.

This helps you decide if the course fits your interests and goals. You can ask questions, clear up any doubts, and get a good idea of what to expect before signing up for a full course.

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10 June 2024
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