Data Analytics Course in Gurgaon

Data Analytics Course in Gurgaon

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Join the program and get the opportunity to learn under the guidance of an data analytics course in gurgaon specialist.

Data Analytics Course in Gurgaon

Expertise

prof trained

80000+

Professionals Trained
batch image

50+

Industry Expert Trainers
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8 Branches

In NCR
corporate

2500+

Corporate Served

Course Duration

--

Certificate

Yes

Live Project

--

Training Mode

Classroom / Online

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Why Choose Ducat India for Your Data Analyst Training in Gurgaon?

1️⃣ Industry-Experienced Trainers

Our expert instructors, with years of real-world experience, provide practical insights into real-time data-driven applications. This ensures you can bridge the gap between theory and industry demands.

2️⃣ A Job-Ready Curriculum Aligned with Industry Standards

Our data analyst course in Gurgaon covers both foundational and advanced concepts to help you land your dream job.

📌 Key Topics Covered:Data Manipulation: Learn Python, SQL, and R for data cleaning and analysis.
Statistical Analysis: Master ...

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Learn The Essential Skills

Learn The Essential Skills

Earn Certificates And Degrees

Earn Certificates And Degrees

Get Ready for The Next Career

Get Ready for The Next Career

Master at Different Areas

Master at Different Areas

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What You Will Learn?

  • Data Collection: How to gather data from different sources.
  • Data Cleaning: Techniques to prepare and clean data for analysis.
  • Data Analysis: Learn to analyze data using tools like Excel, SQL, Python, and R.
  • Data Visualization: Create charts and dashboards with tools like Power BI and Tableau.
  • Statistical Techniques: Apply key methods to interpret data.
  • Machine Learning Basics: Get introduced to predictive analytics.
  • Real-World Projects: Work on live projects for hands-on experience.

Skill you will gain

  • Data Collection

  • Data Cleaning

  • Statistical Analysis

  • Data Visualization

  • Python/R Programming

Explore Modules of this course

Introduction to Data Analytics:

What is Data Analytics? Importance and applications of data analytics Data analytics tools and software

Data Fundamentals:

Types of data (structured, unstructured, semi-structured) Data sources and data collection methods Data storage and management

Data Preprocessing:

Data cleaning and data quality Data transformation and normalization Handling missing data

Exploratory Data Analysis (EDA):

Descriptive statistics Data visualization techniques EDA tools and libraries

Statistical Analysis:

Probability and statistics concepts Hypothesis testing Regression analysis

Data Wrangling and Data Transformation:

Data manipulation using SQL Data cleaning techniques Feature engineering

Data Visualization:

Data visualization principles Creating meaningful visualizations

Machine Learning Fundamentals:

Introduction to machine learning Supervised vs. unsupervised learning Model evaluation and metrics

Data Analysis with Python or R:

Introduction to Python or R Libraries for data analysis (e.g., Pandas, NumPy) Working with data in Python or R

Advanced Analytics Techniques:

Clustering and classification Time series analysis Text and sentiment analysis

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