DATA ANALYST COURSE

A data analytics course is designed to teach students or aspiring data analysts how to collect, process, analyze, and interpret data to extract valuable insights and support data-driven decision-making.

Career Ease

Career Ease

Career Ease

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Key Highlights

Limited Students Batch

Personalised Attention

Highly Qualified Experts

Flexible Batch Timings

Interactive Learning

Live Projects

Career Support

Job Oriented Training

Students Placed and Hired in Companies

Course Highlights

DATA ANALYST COURSE

A data analytics course is designed to teach students or aspiring data analysts how to collect, process, analyze, and interpret data to extract valuable insights and support data-driven decision-making. These courses typically cover a range of topics in data collection, data cleaning, statistical analysis, data visualization, and reporting. Here’s an overview of what you might expect in a data analytics course. Techniques for exploring data to identify patterns, outliers, and relationships.

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At Career Ease, we believe that the success of a company is rooted in the talents and aspirations of its employees. We are committed to creating a positive impact on the tech industry by bridging the gap between top tech talent and companies while empowering job seekers to achieve their career aspirations. We believe in creating a thriving ecosystem where technology and innovation comes to life.

Course Curriculum

Introduction- Overview of Data Analysis+
  • Why do Organizations needs a Data Analyst
  • Introduction to Data analysis & Evolution of Data Science
  • Difference between Data analyst & Data Scientist
  • Roles & Responsibilities of Data Analyst
  • Different types of Data
Exploratory Data Analysis+
  • What is exploratory data analysis?
  • 7 steps in EDA?
  • How to perform EDA on Real time Dataset
Data Visualizations+
  • Getting Started With Tableau
  • Working with Tableau
  • Deep Diving with Data and Connections
  • Creating Charts
  • Adding Calculations to Your Workbook
  • Mapping Data in Tableau
  • Dashboards and Stories
  • Visualizations for an Audience
Matplotlib+
  • Bar plots
  • Basic Matplotlib concepts
  • Subplots
  • Histograms
  • Advanced Matplotlib concepts
Advanced Data Analysis+
  • Data Visualization
  • Correlation and Regression
  • Data Ethics and Privacy
  • Critical Thinking
Data Analytics for Business+
  • SQL Fundamentals
  • Excel Data Analysis
  • Segmentation and Clustering
  • Data Wrangling
Data Analytics and Machine Learning+
  • Statistical Software (e.g.
  • R
  • Python
  • Jupyter
  • Pandas)
  • Data Collection and Preparation
  • Data Analytics Process
  • Segmentation and Clustering
Data Analytics for Big Data+
  • Data Storytelling
  • Data Wrangling
  • Exploratory Data Analysis (EDA)
  • Data Exploration and Cleaning
Data Analytics and Social Media Insights+
  • Segmentation and Clustering
  • Data Validation and Quality Control
  • Data-driven Decision Making

Professional Certificate

Beginner level

No previous experience necessary

Course Session

20 Days 1 Hours per day

Flexible schedule

Learn at your own pace

Course Overview

Explore the key features, skills, and job roles covered in this DevOps course

Course Key Features

Emphasizes collaboration and communication between development and operations teams.
Focuses on continuous integration, continuous deployment, and automation.

Skills Covered

  • Automation
  • Version Control
  • Scripting & Coding

Job Roles

  • DevOps Engineer
  • Release Engineer
  • Build Engineer

Training FAQs

Everything you need to know about our training program

What is the purpose of this training?
This training aims to equip participants with practical DevOps skills, enhance collaboration between development and operations teams, and prepare them for real-world IT projects.
This training is suitable for IT professionals, developers, system administrators, and beginners looking to build a strong foundation in DevOps practices and tools.
No strict prerequisites are required. Basic understanding of programming concepts and familiarity with IT systems is recommended to make the most of the course.
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