Immersive Learning
Training & Internship Program
Master Data Analysis
6-weeks training by experienced Instructors
Learn practical tools & technologies
Project-based learning approach
Internship Certificate on completion
Hurry up! Limited seat available
Hurry up! Limited seat available
35 LPA
Highest Package
5000+
Students Placed
12000+
Hire Recruiter From US
100%
Placement Support
35 LPA
Highest Package
5000+
Students Placed
12000+
Hire Recruiter From US
100%
Placement Support
Fastest Growing Career Path
WEF counts Data Analysts among the top in-demand jobs of the future
Annual Average Salaries
Top Hiring Companies
Growing Demand
14%
Growth in Data Analyst jobs is expected by 2025
Why Join our Internship Program?
Make a smooth landing into your dream job
Data Curious to Data Pro in 6 Weeks
Our 6-week Data Analytics Training cum Internship Program helps you gain on-ground skills required to launch your data analytics career. With weekly live training and real-time project work — you will attain the skills and experience needed to thrive in the industry.
In Just 6 Weeks, You’ll Learn:
The A to Z of Data Analytics and Business Intelligence (BI)
Tools like SQL, Python, Power BI, and more
Data storytelling that attracts people attention
World-Class Curriculum to set you apart
Weekly roadmap
Introduction to project development with Data Analytics
. Introduction to data analytics concepts, importance, and applications
. Role of data analytics in business decision-making
. Data Collection and Cleaning
. Techniques for collecting and preprocessing data
. Data cleaning methods to handle missing values, outliers, and inconsistencies
. Project plunge with strategy for development and literature review process.
Data Analysis with Python
Hands on Problem Statement: Examining Energy Consumption Dataset.
You will learn,
. Basics of Python programming language and its applications in data analytics
. Introduction to libraries such as Pandas, NumPy, and Matplotlib for data manipulation and visualization
. Exploratory Data Analysis (EDA)
. Techniques for exploring and summarizing data using statistical methods and visualizations
Statistical Analysis
Hands on Problem Statement: Murder Mystery at Maple Creek
You will learn,
. Basic statistical concepts such as probability distributions, hypothesis testing, and regression analysis
. Practical applications of statistics in data analytics
. Advanced Statistical Techniques
. Introduction to advanced statistical techniques such as ANOVA, time series analysis, and clustering
Machine Learning Fundamentals
Hands on Problem Statement: Wine Quality Classification:
You will learn,
. Overview of machine learning concepts, algorithms, and applications
. Difference between supervised and unsupervised learning
. Machine Learning Algorithms
. Introduction to popular machine learning algorithms such as linear regression, logistic regression, decision trees, and k-nearest neighbors
Data Visualization and Communication
You will learn,
. Principles of effective data visualization
. Introduction to libraries such as Seaborn and Plotly for creating interactive visualizations
. Communicating Insights
. Techniques for effectively communicating data insights to stakeholders through Power BI / Tableau
. Presentation skills and best practices for creating data-driven presentations
Capstone Project
. Capstone project submission by internship students
. Evaluation and certification
Week 1
Introduction
Week 2
Data Analysis
Week 3
Statistical Analysis
Week 4
Machine Learning
Week 5
Data Visualisation
Week 6
Projects
Introduction to project development with Data Analytics
. Introduction to data analytics concepts, importance, and applications
. Role of data analytics in business decision-making
. Data Collection and Cleaning
. Techniques for collecting and preprocessing data
. Data cleaning methods to handle missing values, outliers, and inconsistencies
. Project plunge with strategy for development and literature review process.
Exciting New Tools to Fuel Your Career
Python
Versatile programming language used for data manipulation, analysis, and visualisation
Tableau
Learn data exploration, analysis, and presentation using this powerful data visualisation platform
SQL
Domain-specific language used for database querying and data extraction. Participants will also learn to analyse this extracted data.
Jupyter Notebook
Interactive computing platform to help you create and share documents with live code and visuals.
GitHub
Get comfortable with this widely-used developer platform that allows you to create, store, manage and share code with your team members.
Power BI
Get started on creating interactive dashboards and reports for business intelligence
100+ Top Companies are Hiring from GetWork
Get discovered by the most exciting MNCs and startups
It's your chance to
elevate your career
to your Dream job
Register 240+ Students
Get Certified in Data Analysis
You get a Certificate of Participation complete with your course ratings, along with access to our pool of 300+ job opportunities
Meet Your Instructors
Experienced instructors to help kickstart your dream career
Amit Prabhu
9+ years of experience
Vaishnavi K Dharan
5+ years of experience
Poojitha Renati
9+ years of experience
Ajinkya Kulkarni
9+ years of experience
Hear Straight from Our Empowered Alumni
Our Success Stories
Rucha Patki
Amazing platform for students to improve communication skills and gain technical knowledge. Greats sessions of aptitude, online as well as offline. Great initiative. Keep it up!!
Nikhil Sudhir Kalamdane
Thank You GetWork. I placed at starting of BE and enjoy whole year because of GetWork. Personal guidance of both Amit and Ajinkya sir is very helpful for me. I solved all mock test given by GetWork. Also attend mock interview and analyzed myself. Once again Thank You and All the best for your future programs.
Shubham Gade
I had purchased Aptitude Cracker and C programming courses.Both are very helpful for aptitude tests of any drive. Also Test series is very helpful for practice purpose. Thankyou very much GetWork. I got place in TCS-Ninja without all these course it wasn’t possible.
Frequently Asked Questions
The duration of the program is 6 weeks.
The program includes:
- 6 weeks of live training by experienced instructors
- A project-based learning approach
- Certificate upon completion along with internship experience
The program is designed to accommodate learners at all levels, including beginners.
The training covers:
- Week 1: Introduction to Data Analytics and project development
- Week 2: Data Analysis with Python
- Week 3: Statistical Analysis
- Week 4: Machine Learning Fundamentals
- Week 5: Data Visualization and Communication
- Week 6: Capstone Project implementation and completion
Live training will be conducted through interactive online sessions. More information will be shared post-enrollment.
Yes, all sessions will be recorded and made available to participants for future reference.
The program includes a Capstone Project in Week 6, wherein learners will work on a comprehensive data analytics project that simulates real-world scenarios, allowing them to apply their learnings.
Participants will have access to:
- Doubt-clearing sessions
- Dedicated support team
- Community forum to discuss and resolve queries
Yes, participants will receive a Certificate of Participation upon completing the program.
Yes, we provide placement assistance including guaranteed 5 interview opportunities
You can enroll in the program by clicking the "Enroll Now" button provided on the website. Payment details and other instructions will be available post-registration.
Please stay tuned to our website for the most up-to-date fee structure and payment options.
We offer early bird discounts and limited scholarships. Please check our website for current offers and eligibility criteria.
Participants will need:
- A computer with a stable internet connection, webcam, and a microphone
- Other software requirements will be communicated before the start of the program
For more information, you can contact us at
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