Comprehensive Skill Development: Learn essential skills in data analysis, statistical modeling, machine learning, and data visualization to extract valuable insights from complex datasets.
Hands-On Experience: Gain practical experience through real-world projects and case studies, enabling you to apply your knowledge in various industries and tackle real business challenges.
Industry-Recognized Certification: Complete the course to receive a certification recognized by industry leaders, enhancing your employability and credibility in the rapidly growing field of data science and analytics.
ABOUT DATA SCIENCE & ANALYTICS COURSE :
This Course offers a robust foundation in data analysis, statistical techniques, and machine learning to empower participants in extracting insights from data. With a focus on practical application, the course includes hands-on projects that mirror real-world scenarios. Upon completion, students receive an industry-recognized certification, enhancing their career prospects in the fast-evolving data landscape.
SYALLBUS PREVIEW:
Introduction to Data Science
- Overview of data science concepts and methodologies
- Understanding the data science lifecycle
Data Preparation and Cleaning
- Data collection techniques
- Data wrangling and preprocessing methods
- Handling missing values and outliers
Exploratory Data Analysis (EDA)
- Techniques for visualizing and summarizing data
- Identifying trends, patterns, and anomalies
- Using tools like Pandas and Matplotlib
Statistical Analysis
- Fundamental statistical concepts and inferential statistics
- Hypothesis testing and confidence intervals
- Regression analysis and correlation
Machine Learning Fundamentals
- Introduction to supervised and unsupervised learning
- Key algorithms: linear regression, decision trees, clustering, etc.
- Model evaluation techniques and performance metrics
Data Visualization and Reporting
- Creating impactful visualizations with tools like Tableau or Power BI
- Communicating insights effectively to stakeholders
- Building dashboards for ongoing analysis and decision-maki
- DATA SCIENCE & ANALYTICS COURSE FEE :
| Course Type | Fee (INR) | Duration | Key Features |
|---|---|---|---|
| Basic Package | ₹ 30,000 | 6 Months | – Introduction to data science concepts – Online training – Basic certification – Job assistance |
| Advanced Package | ₹ 50,000 | 8 Months | – In-depth training with additional certifications – Hands-on projects – 1-year access to e-learning platform – Job placement assistance |
| Professional Package | ₹ 75,000 | 8 Months | – Comprehensive curriculum with real-time projects – 120 hours of live training – Advanced certifications – Cloud lab access – Job placement support |
FREQUENTLY ASKED QUESTIONS :
What background do I need to enroll in the Data Science & Analytics course?
A basic understanding of mathematics and programming (preferably in Python or R) is beneficial, but no prior experience in data science is required.
What is the duration of the Data Science & Analytics course?
The course duration varies by package: the Basic Package is 6 months, while both the Advanced and Professional Packages are 8 months long.
Will I receive a certification upon completing the course?
Yes, all packages include a certification. The Advanced and Professional Packages offer additional certifications for specialized skills.
What kind of support will I receive during the course?
You will have access to 24/7 learner assistance and support, along with job placement assistance in the Advanced and Professional Packages.
Are there any real-time projects included in the course?
Yes, the Advanced and Professional Packages include hands-on projects that simulate real-world data science scenarios, providing practical experience to enhance your learning.