Certification Course in Data Analytics

Unlock limitless opportunities in the data-driven world with our data analytics professional certification course.

Data Science Course
🔥 Limited Seats

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Trusted By
📊 1200+ Students

Internship
📅 3 months

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Certificate Courses for Beginners

Duration: 3 Months

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Advanced Training in IT Technology

Duration: 6 Months

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Practical Based Learning Methodology

Hands-on training with real projects

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Internship & Placement Assistance

Support to secure jobs in top companies

The Data Analyst Course: Complete Data Analyst Bootcamp

Choose from our best-selling courses

Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization.

Topics and Tools covered:

IBM
Netlink
TCS
Wipro

Mastering Data Analytics: A Complete Bootcamp for Aspiring Data Analysts

Complete Data Analytics Syllabus 💻

Module 1 - 1. Introduction to Data Analytics

What is Data Analytics?
Types of Data Analytics (Descriptive, Diagnostic, Predictive)
Role of a Data Analyst & Career Opportunities.

Module 2 - Data Handling and Preprocessing

Data Collection (APIs, Web Scraping, Databases)
Data Cleaning (Handling Missing Values, Duplicates, Outliers)
Data Transformation (Feature Engineering, Data Type Conversion)

Module 3 - Data Analysis with Python and SQL

Python for Data Analysis (NumPy, Pandas)
SQL Queries (SELECT, WHERE, GROUP BY, JOIN)
Exploratory Data Analysis (EDA)

Module 4 -Data Visualization and Reporting

Visualization Tools: Matplotlib, Seaborn, Power BI, Tableau
Creating Dashboards and Reports
Storytelling with Data.

Module 5 - Statistical Analysis and Machine Learning Basics

Descriptive Statistics & Probability
Hypothesis Testing & A/B Testing
Introduction to Machine Learning (Regression, Classification)

Module 6 - Capstone Project and Industry Applications

End-to-End Data Analytics Project
Solving Business Problems with Data
Presenting Insights to Stakeholders

Module 7 - Data Collection and Cleaning

Data Sources (Databases, APIs, Web Scraping)
Data Cleaning Techniques (Handling Missing Values, Duplicates, Outliers)
Data Transformation and Feature Engineering

🖧 Integrating These Technology

Here are some key technologies commonly used in

Honeybee Tech
Accenture
Cognizant
Infosys
TCS
Wipro
Deloitte
Deloitte
Code and Laptop

Highlighted Features

  • Data is the Foundation of Decision-Making
  • Data Cleaning is Crucial for Accuracy.
  • Visualization Simplifies Complex Information
  • Statistical Analysis Enhances Predictability.
  • Data Analysis Drives Business Success.
  • Continuous Learning and Adaptation.
  • Ethical Data Usage and Privacy Matters.
📌 How data transforms into insights
  • Data Generation
  • Data Collection
  • Data Cleaning & Preparation
  • Data Exploration & Analysis
  • Data Visualization & Reporting
  • Decision-Making & Action
📌 The future of data analytics and its innovations
  • Artificial Intelligence (AI) & (ML)
  • Big Data & Cloud Computing
  • Real-Time Analytics
  • Natural Language Processing (NLP)
  • Augmented Analytics
  • Data Privacy & Ethics
📌 Surprising ways data analytics is changing the world
  • Sports Analytics
  • Smart Cities
  • Music & Entertainment
  • Disaster Prediction
  • Education Analytics
  • Crime Detection
📌 Modules to becoming a successful data analyst
  • Learn the Basics
  • Master a Programming Language
  • Understand Data Visualization
  • Work on Real Projects
  • Get Certified
  • Apply for Jobs