Data Science, Machine Learning, Python are termed as the bread & butter of the future analytics industry. Data Science course will build your skills in Python, Data Visualization, Predictive Analytics, and Machine Learning. These skills will help you to start a successful career in Data Science. Building a strong understanding of the topics, and job-focused project will help you demonstrate your abilities to the interviewer, thus achieving the goals of your career.

Key Highlights

100% Placement Support
Free Course Repeat Till You Get Job
Mock Interview Sessions
1:1 Doubt Clearing Sessions
Flexible Schedules
Real-time Industry Projects

Placement Stats

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Maximum salary hike
100%
Average salary hike
40%

Our Alumni in Top Companies

Batches Timing for Data Analytics Certification

Track Weekdays (Tue-Fri) Weekends (Sat-Sun) Fast Track
Course Duration 5 Months 6 Months 45 Days
Hours Per Day 2-3 Hours 3-4 Hours 6 Hours
Training Mode Classroom/Online Classroom/Online Classroom/Online

Data Science Certification

Earn your Certificate after the completion of the course.

This certification helps you gain skills and knowledge to jump start journey towards becoming a successful Data Science Certified Professional.

Post your Certificate on LinkedIn, Meta, Twitter and get recognition of the Hiring Managers from the top-notch companies.

Course Curriculum

Gyansetu’s Data Science Master Certification training will impart deep knowledge in the field of data analytics and data science. You will gain practical experience doing real-world projects which will use advanced analyzing and making data-driven decisions skills imparted during the lectures throughout the course.

Complexity Analysis 6 Topics
  • Introduction to Asymptotic Analysis and Big O Notation
  • Order complexity analysis
  • Theoretical complexity analysis
  • Time complexity analysis of searching and sorting
  • Theoretical space complexity
  • Space complexity analysis of recursive algorithms
Arrays 39 Topics
  • Introduction to Arrays
  • How arrays are stored in memory?
  • Passing arrays to functions
  • Multidimensional arrays
  • Two Pointers
  • Find Maximum in Sliding Window
  • Search a Rotated Array
  • Find the Smallest Common Number
  • Rotate an Array by N Elements
  • Find Low/High Index of a Key in a Sorted Array
  • Move All Zeros to the Beginning of the Array
  • Stock Buy Sell to Maximize Profit
  • Merge an Array With Overlapping Intervals
  • Find Pair With Given Sum in an Array
  • Sort an Array Using Quicksort Algorithm
  • Cyclic Sort (easy)
  • Find the Missing Number (easy)
  • Maximum Sum Subarray of Size K (easy)
  • Smallest Subarray With a Greater Sum (easy)
  • Squaring a Sorted Array (easy)
  • Subsets With Duplicates (easy)
  • Bitonic Array Maximum (easy)
  • Permutations (medium)
  • Triplet Sum to Zero (medium)
  • Triplet Sum Close to Target (medium)
  • Triplets with Smaller Sum (medium)
  • Subarrays with Product Less than a Target (medium)
  • Dutch National Flag Problem (medium)
  • Merge Intervals (medium)
  • Insert Interval (medium)
  • Intervals Intersection (medium)
  • Conflicting Appointments (medium)
  • Ceiling of a Number (medium)
  • Next Letter (medium)
  • Number Range (medium)
  • Search in a Sorted Infinite Array (medium)
  • Minimum Difference Element (medium)
  • Solve N-Queens Problem
  • Find K-Sum Subsets
Strings 25 Topics
  • Introduction to strings
  • How strings are stored in memory?
  • Reverse Words in a Sentence
  • Remove Duplicates from a String
  • Remove White Spaces from a String
  • Word Break Problem
  • XML to Tree
  • Find all Palindrome Substrings
  • Regular Expression Matching in String
  • Longest Palindromic Subsequence
  • Longest Palindromic Substring
  • Count of Palindromic Substrings
  • Minimum Deletions in a String to make it a Palindrome
  • Longest Common Substring
  • Longest Common Subsequence
  • Minimum Deletions & Insertions to Transform a String into another
  • Fruits into Baskets (medium)
  • Longest Substring with maximum K Distinct Characters (medium)
  • String Permutations by changing case (medium)
  • Balanced Parentheses (hard)
  • Unique Generalized Abbreviations (hard)
  • Longest Substring with Distinct Characters (hard)
  • Longest Substring with Same Letters after Replacement (hard)
  • Boggle
  • Generate all Combinations of Balanced Parentheses
  • Singly Linked Lists (SLL)
  • Basic Linked List Operations
  • Circular Linked List
  • Doubly Linked List (DLL)
  • Reverse a Singly Linked List
  • Remove Duplicates from a Linked List
  • Delete All Occurrences of a Given Key in a Linked List
  • Sort Linked List Using Insertion Sort
  • LinkedList Cycle (easy)
  • Start of LinkedList Cycle (medium)
  • Happy Number (medium)
  • Middle of the LinkedList (easy)
  • Intersection Point of Two Lists
  • Find n’th Node from the End of a Linked List
  • Swap Nth Node with Head
  • Merge Two Sorted Linked Lists
  • Sort a Linked List Using Merge Sort
  • Reverse Even Nodes in a Linked List
  • Rotate a Linked ListReverse Alternate K Nodes in a Singly  Linked List
  • Add Two Integers Represented by Linked Lists
  • Copy Linked List with Arbitrary Pointer
  • Reverse a Sub-list (medium)
  • Reverse every K-element Sub-list (medium)
  • Merge K Sorted Lists (medium)
  • Kth Smallest Number in M Sorted Lists (Medium)
  • Stack (Implementation)
  • Queue (Implementation)
  • Reversing First k Elements of Queue
  • Implement Stack Using Queues
  • Implement Queue Using Stacks
  • Evaluate Arithmetic Expressions
  • Merge Intervals
  • Longest Valid Parentheses
  • Largest rectangle in histogram
  • Minimum remove to make a valid parentheses
  • Remove duplicate letters
  • Remove k digits
  • Add two numbers
  • Decode string
  • Linear Search
  • Binary Search
  • Hash table
  • Interpolation Search
  • Bubble sort
  • Insertion sort
  • Heap sort
  • Selection sort
  • Merge sort
  • Quick sort
  • Sheel/Radix sort
  • An Introduction to Trees and Basic Tree Properties!
  • What is a Binary Tree?
  • Binary Search Trees
  • N-ary Trees
  • Segment Trees (Segment Interval)
  • Spanning Tree
  • AVL Trees
  • Check if Two Binary Trees are Identical
  • Write an In-Order Iterator for a Binary Tree
  • Iterative In-order Traversal of Binary Tree
  • In-order Successor of Binary Search Tree
  • In-order Successor Binary Search Tree With Parent Pointers
  • Level Order Traversal of Binary Tree
  • Reverse Level Order Traversal (easy)
  • Level Averages in a Binary Tree (easy)
  • Level Order Successor (easy)
  • Zigzag Traversal (medium)
  • Connect Level Order Siblings (medium)
  • Is a Binary Search Tree Valid?
  • Convert Binary Tree to Doubly Linked List
  • Print Tree Perimeter
  • Connect All Siblings of a Binary Tree
  • Serialize/Deserialize Binary Tree
  • Nth Highest Number in Binary Search Tree
  • Mirror Binary Tree Nodes
  • Delete Zero Sum Sub-Trees
  • Convert N-ary Tree to Binary Tree
  • Minimum Depth of a Binary Tree (easy)
  • All Paths for a Sum (medium)
  • Sum of Path Numbers (medium)
  • Path With Given Sequence (medium)
  • Count Paths for a Sum (medium)
  • Find the Median of a Number Stream (medium)
  • Sliding Window Median (hard)
  • Maximize Capital (hard)
  • Introduction to Priority Queues
  • Ways to implement priority queues
  • Introduction to heaps
  • Min-max Heaps
  • Heapify
  • Insert and Delete operations in heaps
  • Implementing priority queues
  • Heap sort
  • Inbuilt Priority Queue
  • What is a Trie?
  • Structure of a Trie
  • Total Number of Words in a Trie
  • Find All Words Stored in Trie
  • List Sort Using Tries
  • Word Formation from a Vector Using Trie
  • Huffman Coding
  • What is a Graph?
  • Types of Graphs
  • Representation of Graphs
  • Directed Acyclic Graphs (DAG)
  • Depth First Search (DFS)
  • Breadth First Search (BFS)
  • Djikstra’s Algorithm
  • Floyd-Warshall Algorithm
  • Bellman Ford Algorithm
  • Ford Fulkerson algorithm
  • Detect Cycle in Graph
  • Find a “Mother Vertex” in a Graph
  • Count the number of Edges in an Undirected Graph
  • Check if a Path Exists Between Two Vertices
  • Check if an Undirected Graph is Tree or not
  • Find the Shortest Path between Two Vertices
  • Clone a Directed Graph
  • Minimum Spanning Tree
  • Word Chaining
  • Topological Sort (medium)
  • Tasks Scheduling (medium)
  • Tasks Scheduling Order (medium)
  • All Tasks Scheduling Orders (hard)
  • Alien Dictionary (hard)
  • What is Recursion?
  • Direct vs. Indirect Recursion
  • Advantages and Disadvantages
  • Find the greatest common divisor
  • Check for Prime Number
  • Let’s find the total number of vowels
  • Is this String a Palindrome?
  • Sort an Array
  • Shuffle Integers
  • Closest Pair of Points
  • Collect Coins in Minimum Steps
  • Merge a Number of Sorted Arrays
  • Introduction to Dynamic Programming
  • Memoization
  • Fibonacci Numbers
  • Largest Sum Subarray
  • MaxSum Subsequence – Nonadjacent Elements
  • Find Combinations for Game Scoring
  • Coin Change
  • Minimum Coin Change
  • Levenshtein Distance
  • Equal Subset Sum Partition (medium)
  • Subset Sum (medium)
  • Minimum Subset Sum Difference (hard)
  • Longest Subarray with Ones after Replacement (hard)
  • Rod Cutting
  • Strings Interleaving
  • Staircase
  • Unbounded Knapsack
  • Maximum Ribbon Cut
  • House thief
  • Minimum Deletions to Make a Sequence Sorted
  • Palindromic Partitioning
  • Longest Bitonic Subsequence
  • Minimum jumps to reach the end
  • Minimum jumps with fee
  • Number factors
  • Equal Subset Sum Partition
  • Minimum Subset Sum Difference
  • Count of Subset Sum
  • Introduction to System Design Basics
  • Key Characteristics of Distributed Systems
  • Load Balancing
  • Caching
  • Data Partitioning
  • Indexes
  • Proxies
  • Redundancy and Replication
  • SQL vs. NoSQL
  • Consistent Hashing
  • Long-Polling vs WebSockets vs Server-Sent Events
  • Introduction to System Design Patterns
  • Bloom Filters
  • Consistent Hashing
  • Quorum
  • Leader and Follower
  • Write-ahead Log
  • Segmented Log
  • High-Water Mark
  • Lease
  • Heartbeat
  • Gossip Protocol
  • Phi Accrual Failure Detection
  • Split Brain
  • Fencing
  • Checksum
  • Vector Clocks
  • CAP Theorem
  • PACELC Theorem
  • Hinted Handoff
  • Read Repair
  • Merkle Trees
  • Designing a URL Shortening service like TinyURL
  • Designing Instagram
  • Designing Dropbox
  • Designing Facebook Messenger
  • Designing Twitter
  • Designing Youtube or Netflix
  • Designing Typeahead Suggestion
  • Designing an API Rate Limiter
  • Designing Twitter Search
  • Designing a Web Crawler
  • Designing Facebook’s Newsfeed
  • Designing Uber backend
  • Recognizing Behavioral Interview Questions
  • Prior Experience Questions
  • Parsing Prior Experience Questions
  • Sample Prior Experience Questions
  • Hypotheticals
  • Answering Hypothetical Questions
  • Values-Based Questions
  • Asking Questions
  • Good Questions to Ask

Industry Ready Projects

Designed by Industry Experts
Get Real-World Experience
Health Monitoring and Disease Prediction

This project uses algorithms like Neural Networks, Decision Trees, or Support Vector Machines to develop a health monitoring and disease prediction system. Patient data like medical history, vital signs, and diagnostic test results are collected and pre-processed. The models predict likelihood of certain diseases and help for early warnings and personalized health insights.

Credit Risk Assessment

This project builds a predictive model to access credit risk for loan applications. Historic loan data having applicant credit scores, personal information, and repayment behaviour are analysed. Machine learning algorithms such as Logistic Regression, Random Forest, or Gradient Boosting are used to predict the defaults. This helps financial institutions to take informed decisions and maintain a healthy loan portfolio.

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480+
Hours of content
video
120+
Live sessions
hammer
9+
Tools and software

Skills you can add in your CV after this course

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Who is this course for?
  • Aspiring Data Scientists/ AI Professionals
  • Software Engineers
  • Data Analysts
  • Career Changers
  • Statisticians
  • Academic Researchers and Educators

Career Assistance we offer

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Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

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Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

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Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

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Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

Our Learners Testimonials

Pawan Kumar
I joined Gyansetu institute for Data Science, faculty is brilliant here. Training got completed in around 6 months.
Shruti Aggarwal
Gyansetu's practical learning methodologies have been invaluable. Institute focuses on hands-on projects and industry-relevant curriculum equipped me with the skills needed to analyze complex datasets and derive actionable insights for my organization.
Divya Singh
I was passionate about data analysis it was an amazing experience learning Data Analytics from Gyansetu. Here the faculties helped me learn from the basics to advanced concepts and with the practice on real projects I was able to crack the job.
self assessment
Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

What are the prerequisites for taking up this Data Science Certification training?

There is no prerequisite to join this course. However, basic knowledge of programming concepts is an additional benefit.

Why should you do Data Science Certification from Gyansetu?

Though there are many online courses available online but we at Gyansetu understand that teaching any course is not difficult but to make someone job-ready is the most important task. This is the reason we have our course curriculum designed and delivered by industry experts along with capstone industry ready projects which will drive your learning through real-time IT industry scenarios and help in clearing interviews.

How long is the course duration?

The total duration of the Data Science Certification course is 480 hours (240 Hours of live Instructor-Led training and 240 hours of self-paced learning).

We have seen getting a relevant interview call is not a big challenge in your case. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. We help you prepare your CV by adding relevant projects and skills once 80% of the course is completed. Our placement team will update your profile on Job Portals, this increases relevant interview calls by 5x.

Interview selection depends on your knowledge and learning. As per the past trend, the initial 5 interviews are a learning experience of :-

  • What type of technical questions are asked in interviews
  • What are their expectations?
  • How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

 

We have seen getting a technical interview call is a challenge at times. Most of the time you receive sales job calls/ backend job calls/ BPO job calls. No Worries!!

Our Placement team will prepare your CV in such a way that you will have a good number of technical interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training. Our placement team will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of –

  • What type of technical questions are asked in interviews
  • What are their expectations?
  • How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get a job after appearing in 6-7 interviews.

We have seen getting a technical interview call is hardly possible. Gyansetu provides internship opportunities to the non-working students, so they have some industry exposure before they appear in interviews. Internship experience adds a lot of value to your CV and our placement team will prepare your CV in such a way that you will have a good number of interview calls. We will provide you with interview preparation sessions and make you job ready. Our placement team consistently works on industry collaboration and associations which help our students to find their dream job right after the completion of training and we will update your profile on Job Portals, this increases relevant interview call by 3x.

Interview selection depends on your knowledge and learning. As per the past trend, initial 8 interviews are a learning experience of :-

  • What type of technical questions are asked in interviews
  • What are their expectations?
  • How should you prepare?

Our faculty team will constantly support you during interviews. Usually, students get job after appearing in 6-7 interviews.

Yes, a 1:1 faculty discussion and demo session will be provided before admission. We understand the importance of trust between you and the trainer. We will be happy if you resolve all your queries before you start class

We understand the importance of every session. Session’s recording will be shared with you and in case of any query, faculty will give you extra time to answer your queries.

Yes, we understand that self-learning is most crucial and for the same we provide students with PPTs, PDFs, class recordings, lab sessions, etc., so that a student can get a good handle of these topics.

We provide an option to retake the course within 3 months from the completion of your course, so that you get more time to learn the concepts and do the best in your interviews.

We believe in the concept that having less students is the best way to pay attention to each student individually and for the same our batch size varies between 5-10 people.

Yes, we have batches available on weekends. We understand many students are in jobs and it’s difficult to take time for training on weekdays. Batch timings need to be checked with our counsellors on +91-9999201478.

Yes, we have batches available on weekdays but in limited time slots. Since most of our trainers are working, the batches are available in morning hours or in the evening hours. You need to contact our counsellors to know more about this on +91-9999201478.

You don’t need to pay anyone for software installation, our faculties will provide you with all the required software’s and will assist you in the complete installation process.

Our faculties will help you in resolving your queries during and after the course.

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