Certification in Data Science & Analytics

Curriculum

Duration : 9 Months

Mode : Online Instructor Led

Data Science

The course is a full-term course, spanning over 9 Months for learners who want to build a long-term career in the data industry.

This course provides an introduction to the field of data science and analytics. Students will learn essential skills such as data manipulation, data visualization, statistical analysis, machine learning, and more. The course includes hands-on projects and case studies to apply the concepts learned in real-world scenarios.

Prerequisites

Learning Objectives

Course Outline

Excel

Excel Fundamentals & Data visualization with excel

Introduction to Data Science and Analytics

Overview of data science and its applications
Data science life cycle: Data acquisition, cleaning, exploration, modeling,
interpretation, and presentation

Data Acquisition and Preparation

Data sources: CSV, Excel, databases, APIs, and more
Data cleaning and pre-processing
Data transformation and normalization
Handling missing values and outliers

Exploratory Data Analysis (EDA)

Statistical summaries of data
Visualizing data distributions, relationships, and trends
Correlation and causation analysis

Data Visualization

Principles of effective data visualization
Data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly)
Creating charts, graphs, and dashboards

Introduction to Statistics for Data Science

Probability distributions
Hypothesis testing
Confidence intervals
Statistical significance and p-values

Machine Learning Fundamentals

Overview of supervised and unsupervised learning
Linear regression and logistic regression
Decision trees and random forests
Clustering techniques (e.g., k-means)
Model evaluation and selection

Advanced Machine Learning

Ensemble methods (e.g., bagging and boosting)
Neural networks and deep learning
Time series analysis and forecasting

Big Data and Data Engineering

Introduction to big data concepts
Working with large datasets (e.g., Hadoop, Spark)
Data storage and retrieval techniques

Data Science Projects and Case Studies

Applying learned concepts to real-world projects
Industry case studies and problem-solving exercises
Presenting data-driven insights and solutions

Capstone Project

Students work on a comprehensive data science project, from data acquisition to modeling and presentation
Peer and instructor feedback on project work
Assessments and Deliverables:
Quizzes and assignments
Midterm and final exams
Project presentations and reports

Guaranteed Placement Opportunities
(*Upon successful completion of the program)

Highest CTC
(LPA)

Average CTC
(LPA)

Hiring
Companies

Placed in
2 months

Max. Students
in batch

Learners
Recommend

Get interview opportunities with top companies that you aspire for

Testimonial

Pruthvi Raj Common Wealth Bank (Senior Associate)

The learning was wonderful. The concepts related to products and processes were covered from end to end. The best thing that I liked during my training was that individual attention was given to each student which resulted in great conversion during our interviews

Ankita Godse JP Morgan Chase (Client Data Specialist)

Extremely satisfying training sessions helped us get a clear understanding of different products & instruments, and soft skills sessions helped us improve our interviewing skills which eventually helped me get into one of the best investment banks

Satyam Singh Société Générale (Team Lead)

The concepts were taught from the very basics using real-life examples. I was able to comprehend the real business problems and was able to understand how the global banking industry works. The placement support was great which helped me in a career transition

Frequently Asked Questions

What will I learn?

Our program in data science & analytics is a 9-month online instructor led 250 hours program, curating the best resources to earn the industry-valued certificate. The curriculum imparts theoretical knowledge with industry-demanding skills to excel in the word of data science & analytics

What is the format of the program?

Currently we are offering this program via ONLINE instructor led mode that which is for both working professionals as well as fresh graduates

What is the duration of the program?

The duration of the program is 250 hours which includes different levels of assessments to ensure our learners are ready to face the interviews

Who is this course for?

The data science program is a placement assistance program for aspirants to gaining industry-relevant domain knowledge and getting placed in data and technology driven firms.

Our course is meant for recent graduates (0-3 years of work experience) from STEM background and professionals with relevant IT experience up to 5 years.

What is the biggest USP at Encubated ?

The maximum strength of any batch is 20. We don’t enrol more than 20 students in a batch at any given time. This means we can provide one on one attention to our students ensuring a better chance of conversion in the interviews.

What are the fees for the program?

The course fee is INR 80,000/-. You can pay by credit card, debit card or net banking from all leading banks. We offer EMI & Instalment options as well on Credit card payments

What is the refund policy?

Learners are advised to thoroughly review the program details before applying. We work extremely hard to ensure our learners receive the best training and placement support throughout. After enrolment, refund requests for the payment made will not be entertained. However, there is a deferment policy available which allows applicants to defer their enrolment to a future batch.