Certified Full Stack Data Science Program Training Course
Learn from Global Experts - Apache HADOOP, HDFS, Scoop, Map Reduce, YARN, Hive, Impala, & PIG
A Full Stack Data Science program is a comprehensive curriculum that covers all aspects of data science, including data collection, data preprocessing, data analysis, machine learning, and data visualization. It aims to equip students with the skills and knowledge required to handle end-to-end data science projects.
15+ Years
of Educational Excellence
Ranked #1
by Working Professional
24 Months
Program Duration
100% Campus
With Weekend class
Course Overview
In a Full Stack Data Science program, students typically learn programming languages such as Python or R, along with libraries and frameworks commonly used in data science, such as NumPy, Pandas, scikit-learn, and TensorFlow. They also gain knowledge of statistical analysis and mathematical concepts that underlie data science algorithms.
Additionally, a Full Stack Data Science program may include modules on data engineering, which involve techniques for collecting, cleaning, and manipulating large datasets. Students may learn about databases, data pipelines, and distributed computing frameworks like Apache Spark.
Syllabus
A future-proof syllabus meticulously designed by industry experts and educationalists, comprising videos, texts, industry projects, live sessions, and assignments, is a comprehensive learning plan that will help you develop the required skill set and knowledge to secure a job that assures career growth.
Syllabus
Best-in-cltass content by leading faculty and industry leaders in the form of videos, cases, and projects.
- Introduction to Data Science: Understanding the role of data in decision-making and problem-solving.
- Learning Python programming with a focus on data manipulation libraries like NumPy, Pandas, and visualization tools like Matplotlib, Seaborn.
- Data Collection: Techniques for gathering data from various sources such as APIs, databases, web scraping, etc.
- Handling missing values, outliers, normalization, and feature engineering.
- Exploratory Data Analysis (EDA): Using statistical and visualization tools to understand data patterns and relationships.
- Understanding distributions, hypothesis testing, and probability.
- Supervised Learning: Regression, classification algorithms (linear regression, logistic regression, decision trees, etc.).
- Clustering, dimensionality reduction (K-means, PCA, etc.)
- Cross-validation, hyperparameter tuning, performance metrics
- Deep Learning: Neural networks, CNNs, RNNs, and their applications in data science.
Natural Language Processing (NLP): Text analysis, sentiment analysis, and language modeling.
- Collaborative filtering, content-based filtering
- Handling Big Data: Introduction to tools like Apache Spark, Hadoop for distributed computing.
- Understanding cloud services (AWS, Azure, GCP) for data storage, processing, and deployment
- Data Visualization Libraries: Using tools like Tableau, Plotly, or Matplotlib for effective data presentation.
- Communicating findings and insights effectively to stakeholders
- Practical Application: Working on industry-relevant projects applying learned concepts to real datasets
- Solving a comprehensive data science problem from data collection to model deployment.
- Ethics in Data Science: Understanding privacy, bias, and responsible AI practices.
- Exploring advancements and future directions in data science and AI
- Freshers,
- Engineers,
- Domain Experts,
- Software & IT Professionals,
- Marketing & Sales Professionals
- Anyone interested in learning Big Data HADOOP, willing to make a career in Big Data and to score better in certification exams.
- Working with HDFS
- Batch Processing using MapReduce
- Data Analysis using Pig
- Querying Big Data using Hive & HBase
- Real-time Data Processing with Spark
- Workflow Scheduling using Oozie
- U.G Degree with minimum 50% or equivalent passing marks
- No coding experience is required
- Hadoop Developer,
- Hadoop Architect,
- Hadoop Admin,
- Senior Hadoop Developer,
- MIS Reporting Executive
- Data Scientist &
- Big Data Analyst
Programming Tools & Languages Covered
About the Program
This Full Stack Data Science program aims to equip individuals with a comprehensive skill set, encompassing the entire data science pipeline, enabling them to tackle real-world challenges in the field.
Course Completion Certificate
Complete the Full Stack Data Science Program course successfully to receive this honorable course completed certificate from Pathpilots. This certificate, recognized by top organizations – MNCs, will be awarded to students who have scored at least 60% and above on the test and completed the assigned project work.
Syllabus
Best-in-cltass content by leading faculty and industry leaders in the form of videos, cases, and projects.
Team Members
Our Expert Instructors
Admission Process
Getting admitted to one of Pathpilots courses is a four-step, simple process. Let's take a walk-through:
Step 1
Fill out the application form by answering tour basic details.
Step 2
Selection Process
Attend a short test with questions about reasoning, aptitude, and the course basics.
Answer 10 Questions
If you score 50% and above, you are eligible to enroll for the course
If you score 50% and above, you are eligible to enroll for the course
You will receive a special 10 % discount on the total course fee if you answer nine questions correctly
Students who have scored the following marks in the below-mentioned competitive exams can join the course without attending the test. You are also eligible for a special Discount of 10% on the total course fee.
Exemption for students who have a GRE score of 300+, a GMAT score of 650+, a CAT score of 90+, and a GATE score of 500+
Step 3
Shortlisting – Reserving Seats
Pathpilots will shortlist students based on their profile and test scores. The selected candidates will receive admission letters and can block their seats by remitting an advance amount of INR……………….. (Amount to be decided by Client)
Step 4
Selection Process
Balance fee to be remitted within the next ten days or before the course commencing date.
Top Companies that Hire Our Students
Trusted by market leaders across the globe, our students play an active role in contributing to the development of the community as a whole at
Personalised Industry Session
90-minute sessions over the weekend by leading industry experts
Career Mentorship Sessions
90-minute sessions over the weekend by leading industry experts
Interview Preparation
90-minute sessions over the weekend by leading industry experts
Course Fees
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Rs 15000
For Enterprises
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For Students - Learners
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- Design Customized Career Plans
- Focus on Training & Skill Development
- Honor With Industry Recognized Certifications
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Why Choose PathPilot
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All Classes Video Provided
Classes offer video content for comprehensive learning and understanding.
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