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Placement-Assured

Data Analytics Course

In Hyderabad

  • Limited Seats: Only 25 Students Per Batch
  • 120 Days to Learn, Build, and Secure Your Future in Tech.
  • No Coding Experience? No Problem! Start from Scratch and Become a Data Analyst !
120 Days
With 3 Real Time Projects
100%
Real Time Tasks
4.9 Ratings
by 5000 Learners
Telugu
Language

Register Now

Why Choose CODEBEGUN for Data Analytics ?

Comprehensive Technical Expertise

Mastering data analytics technologies, equipping you with the skills needed to make data-driven decisions and stay industry-ready.

Experienced Trainers

Learn from industry professionals with real-world expertise and insights into the latest trends and best practices.

Real-Time Projects

Work on live projects, developing end-to-end web applications to gain confidence and hands-on experience.

Job-Ready Curriculum

Get mock interviews, resume building, and a focus on problem-solving skills to ace technical interviews.

Guaranteed Job Assistance

Access exclusive hiring partners and career support to land your dream job in the tech industry.

Lifetime Learning Support

Enjoy lifetime access to materials, recorded sessions, and a vibrant alumni network for continued growth.

Data Analytics Course Curriculum (120 Days)

This course provides a comprehensive journey into Data Analytics with real-world datasets, hands-on tasks, and industry-specific projects.

Modules

Overview of Data Analytics
  • Introduction to Data Analytics
  • Importance of Data-Driven Decisions
  • Data Analytics Process
  • Types of Analytics: Descriptive, Predictive, Prescriptive
Data Collection & Preprocessing
  • Data Sources: Structured vs Unstructured Data
  • Data Collection Methods
  • Data Cleaning & Handling Missing Values
  • Data Transformation Techniques
Data Analytics Tools
  • Introduction to Excel, SQL, and Python for Data Analytics
  • Setting Up Data Analytics Environment
  • Exploratory Data Analysis (EDA)
  • Data Visualization Tools

Statistics Fundamentals
  • Descriptive Statistics: Mean, Median, Mode
  • Probability Distributions: Normal, Binomial
  • Sampling Methods
  • Hypothesis Testing
Inferential Statistics
  • Confidence Intervals
  • ANOVA (Analysis of Variance)
  • Chi-Square Test
  • Correlation and Regression Analysis
Probability Theory
  • Bayesian Probability
  • Random Variables and Expectations
  • Law of Large Numbers
  • Monte Carlo Simulations

Visualization Tools
  • Introduction to Tableau and Power BI
  • Creating Basic Charts and Graphs
  • Advanced Visualizations (Heatmaps, Tree Maps, etc.)
  • Interactive Dashboards
Data Reporting
  • Building Effective Reports
  • Data Storytelling
  • Presenting Insights to Stakeholders
  • Automating Reports
Advanced Visualization
  • Geospatial Data Visualization
  • Time-Series Analysis Visualization
  • Interactive Data Storytelling
  • Using Python (Matplotlib, Seaborn)

Introduction to Machine Learning
  • Supervised vs Unsupervised Learning
  • Regression Models
  • Classification Models
  • Clustering and Dimensionality Reduction
Practical Machine Learning
  • Building ML Models with Scikit-Learn
  • Model Evaluation Techniques
  • Overfitting and Underfitting
  • Feature Engineering
Advanced ML Topics
  • Deep Learning Overview
  • Natural Language Processing (NLP)
  • Reinforcement Learning
  • Model Deployment and Integration

Frontend Projects
  • Project 1: Personal Portfolio Dashboard
  • Project 2: Real-Time Data Analytics Dashboard
  • Project 3: Interactive Survey Data Visualization
Backend Projects
  • Project 1: Sales Forecasting using Machine Learning
  • Project 2: Customer Segmentation Analysis
  • Project 3: Financial Data Forecasting
Main Project

Project Name: E-commerce Data Analytics Platform

This project involves building a platform to analyze and visualize e-commerce sales data, customer behavior, and predictive insights.

Tools Covered
  • Jupyter Notebooks
  • GitHub
  • Google Cloud Platform
  • AWS: Deployment of ML Models
Development Tools
  • SQL for Database Management
  • Power BI/Tableau for Reporting
  • Deployment on AWS/Heroku
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Our Course Features

Mock Interviews by Industry Experts

Practice real-world interview scenarios conducted by experienced industry experts.

Real World Tasks

Engage in hands-on real-world tasks and projects to gain practical experience and skills.

Coding Challenges

Solve advanced coding problems designed to enhance your programming and problem-solving abilities.

Conduct GD and JAMs

Participate in Group Discussions (GD) and Just A Minute (JAM) sessions to improve your communication and presentation skills.

Placement Support

Receive end-to-end placement assistance to help you secure your dream job.

One-on-One Technical Help Sessions

Get personalized technical guidance and support through dedicated one-on-one sessions with our experts.

Technologies Covered In This Course

python

Python

Tableau

Tableau

Matlab

Matlab

Cassandra

Cassandra

Couchbase

Couchbase

JavaScript

Redis

amazonRedshift

Amazon Redshift

Google BigQuery

Google BigQuery

CloudStorage

Cloud Storage

ETL

ETL

SPSS

SPSS

Mongo DB

Mongo DB

My SQL

My SQL

Microsoft SQL Server

Microsoft SQL Server

PostgreSql

PostgreSql

Looker

Looker

Google Colab

Google Colab

Jupyter

Jupyter

GIT

GIT

GIT HUB

GITHUB

Certificate of Excellence

Earn a certificate that validates your skills and expertise. Our certificates are recognized by industry leaders and provide a competitive edge in the job market. Showcase your achievement and stand out as a professional.

  • Recognition of Outstanding Performance

    • The Certificate of Excellence serves as a testament to the recipient's exceptional skills, dedication, and commitment to achieving high standards in their learning journey.

  • Industry-Validated Achievement

    • This certification signifies mastery of real-world projects and cutting-edge technologies, making it a highly respected credential in the professional world.

  • Boost to Career Aspirations
  • Proof of Practical Expertise
  • Inspiration for Lifelong Learning
Certificate

Our Alumni Work with the Best, and So Can You!

Java Full Stack

Advantages of Choosing Data Analytics Career

High Demand
Versatility
Comprehensive Skill Set
Career Growth
Competitive Salary
Continuous Learning
Remote Work
Job Security
Diverse Industries
Entrepreneurial Opportunities

Data Analyst Salary Chart

Compare salaries across companies and experience levels

About Data Analytics Course

FAQ

A Data Analytics Professional is skilled in gathering, processing, and analyzing data to uncover trends, patterns, and insights. They are proficient in technologies such as Excel, SQL, Python, R, and machine learning.

Yes, Data Analytics is a rapidly growing field in India, offering high demand, lucrative salaries, and opportunities across various industries like healthcare, finance, e-commerce, and more.

Yes, upon successful completion of the Data Analytics course, you will receive a certificate that validates your skills in the field.

Yes, the course focuses on hands-on projects, real-world data, and case studies to provide practical knowledge and prepare you for industry challenges.

Yes, our trainers are industry experts with extensive experience in data analytics and are actively involved in analytics projects across different sectors.

Meet Our Experienced Trainers

Trainer 1

Siva Prasad G

14+ Years Experience

Senior Data Scientist, Specialized in Data Analytics, Machine Learning, and Cloud Computing.

Trainer 2

Srikanth B

12+ Years Experience

Expert in Data Visualization, Statistical Analysis, and Predictive Modeling using Python and R programming.

Trainer 3

Surya Kiran N

12+ Years Experience

Specialist in Database Management (SQL, MongoDB) and Big Data Processing (Hadoop, Spark).

Get in Touch

Connect with us to explore our hands-on, industry-focused courses designed to elevate your skills and career prospects. Discover learning tailored for real-world success!

+91-6301099587

hr@codebegun.com