Data Science Classes in Pune
Join our Data Science Classes! Learn from industry experts, gain practical skills, and start your career in data science today.
Course Path
Course Completion Certification
Enquire Now
15214
Students Enrolled
4.8
Google Reviews
Guaranteed
Job Interviews
6 Months
Duration
250+ Hours
of Learning
Develop into a Data Science Expert with Data Science Classes in Pune at Analytiq Learning
Analytiq Learning Pune’s Data Science Classes in Pune and training courses for beginners is an exceptional requisite program that includes basic training in Data Analytics and Data Science training methodologies.
It is a fantastic Data Science course in Pune with Placement, focused on a curriculum that comprises a lot of knowledge content and the teaching facility from our elite professors.
The master’s program in Data Science courses covers important topics like Data Science, including Data Preprocessing, Exploratory Data Analytics, Data Handling Techniques, Statistics, Algebra, and machine learning math, including regression, classification, and clustering in Statistical Learning.
The Data Science course in Pune helps those aspirants prepare for the same by practicing on real-time case scenarios and helps them to prepare for job roles where they will be solely responsible for real-time projects.
Are you searching for the most appealing data science course fees in Pune? Search for Data Science Classes in Pune, and join one of the best data scientist courses in Pune to learn through practical sessions and get hired in a Data Science course in Pune Offline.
Key Advantages of the Data Science Classes in Pune: Analytiq Learning
Why Choose Analytiq Learning for Data Science?
It is also known as Data Science Training In Pune is the right platform for all the analytics career-oriented people who are looking to set their future in Data Science.
Since the course fits the current industry demands, anyone who wants to join DS starting afresh or switch their technology from an existing working domain to Data Science can enroll on our Data Science Course In Pune.
If you are a beginner in programming and statistics, then you should not be worried at all; we have got you covered. Our Data Science course in Pune with Placement will take you through every concept from the basics.
You will learn everything from the introduction to Statistics, Maths, SQL, EDA, and Statistical analysis to advanced AI, Machine Learning, Business Analytics, Predictive Analytics, Text Analytics, and much more in our Data Science course in Pune.
Thus, the Data Science training is best suited to
- Managers
- Data analysts
- Business analysts
- Database Administrators
- Networking Operators
- Some professional whats want to shift their career path
- PT Legacy Technologies Profesional
- IT Developers and software professionals
- Job Seekers
- Freshers/Graduates
- End users
As more demands are made for big data, Data Science has emerged as the dominant technology and the most popular term that is frequently used in IT and the corporate world. Therefore, when we want to enter into this technology, this time is fit for this purpose.
In this Data Science course in Pune with Placement, the trainers and mentors will be more involved in providing their support to the participants. As we coordinate our Data Science Classes in Pune, the aim would be to develop our students into properly equipped Data Scientists for their future careers.
Features of the Data Science Courses in Pune
Secure Your Future with In-Demand Job Opportunities from Data Science training in Pune at Analytiq Learning
Beginner’s Data Science Course
This course is aimed at those who do not have any prior experience in data analysis but want to develop a basic understanding of data analysis and what statistics and probability involve, as well as have a basic approach to programming in Python or R. Upon program completion, possible positions include the Junior Data Analyst or Data Entry Specialist, enabling learners to acquire lower-ranking positions in the job market with basic experience. This makes it a valuable option for Data Science training in Pune and the Best data science course online.
Intermediate Data Science Course
Those with some background get more details on ML algorithms, data visualization tools, and handling big data technologies in this course. That is where graduates can look for positions such as Data Analyst, Business Intelligence Analyst, and Data Engineer among the tasks that are more vast and lean towards embracing the overall aim of how information can help organizations.
Advanced-Data Science Course
This course is perfect for those who are considering becoming specialists in the given field because it provides concepts of machine learning and further developments, such as AI and big data frameworks. Career outcomes for this course include obtaining positions as a Data Scientist, Machine Learning Engineer, or AI Specialist; the graduate would become a head of data science projects and will also lead further AI advancements.
Specialized Data Science Certification (e.g., AI, Big Data, etc.)
This course is dedicated to focus areas of data science such as Artificial Intelligence, Deep Learning or Big Data Analytics. These specializations give graduates access to the qualitative opportunities that fit the modern market need for jobs such as Artificial Intelligence Engineer, Big Data Architect, or Data Science Consultant.
Why Choose the Data Science Certification Course at Analytiq Learning Pune?
- Expert-Led Training: The Data Science certification course is delivered by subject matter experts with years of teaching experience at Analytiq Learning. Since they have a professional background, this knowledge keeps you up-to-date on the existing trends and new instruments in the field, making it the Best Data Science Course in Pune with Placement.
- Comprehensive Curriculum: The course provides end-to-end coverage of Data Science starting from first principles about data analysis up to machine learning techniques, Big data and Artificial Intelligence to give you a comprehensive feel and technical expertise in the subject area.
- Hands-On Learning: At Analytiq Learning, students are trained and given real-life experiences rather than bureaucratic training. You would engage in projects, cases, and assignments that serve as scenarios of real-life problems faced in data science careers.
- Flexible Learning Modes: The course is both online and offline, providing you with an opportunity to select a learning modality that works well for you. This setting is convenient, especially for busy working people as well as students.
- Career Support & Placement Assistance: The career services available to students of Analytiq Learning include employment support, resume writing assistance classes and mock interviews. Excellent human resource partnerships mean that you get to trace good jobs immediately after completion of the course.
Analytiq Learning the best Data Science Classes in Pune with 100 %Job Assistance
Analytiq Learning to the students provides them with theoretical and practical knowledge of data science in line with the market codebase.Analytiq learning differs from conventional learning institutions in that learning in this institution involves more than the transfer of knowledge.
Throughout the learning process, learners are provided with individualized attention with trainers coming from the field.Data Science classes in Analytiq Learning are specifically aimed at providing learning to those who are seeking to boost their career paths.
The subjects included in the curriculum are relevant to the current-day job market and include, for instance, machine learning, data visualization, and statistical analysis to name but a few. Analytiq Learning also helps students find promising directions for their further careers based on their abilities and preferences, as well as preparing for international certifications.
It specifies that learning outcomes are not only technical competencies, but graduates are competent for global contexts, especially in our Data Science Classes in Pune.
Thus, in today’s world, it is crucial to know more than just the fundamentals of data science concepts to be employed. Quality education is underlined by Analytiq Learning, and knowledge is backed up by practical applications.
Aiming to provide quality education and help students meet all the requirements of data science jobs, the classes are popular as some of the best data science classes in Pune; Data Science course in Pune with Placement is also provided for students to get well-paid jobs.
Our Alumni Works at
Batches We Offer for Data science Course in Pune
Fast Track Batch
- Session: 6 Hrs per day + Practical
- Duration: 2 Months
- Certification: Yes
- Training Type: Classroom
- Study Material: Latest Book
- Days: Monday to Friday
- Practical & Labs: Regular
- Personal Grooming: Flexible Time
Regular Batch
- Session: 4 Hrs per day
- Duration: 5 Months
- Certification: Yes
- Training Type: Classroom
- Study Material: Latest Book
- Days: Monday to Friday
- Practical & Labs: Regular
- Personal Grooming: Flexible Time
Weekend Batch
- Session: Full Day + Practical
- Duration: 5 Months
- Certification: Yes
- Training Type: Classroom
- Study Material: Latest Book
- Days: Saturday & Sunday
- Practical & Labs: As Per Course
- Personal Grooming: Flexible Time
Upcoming Batch Schedule for Course in Pune
| Sr.No | Date | Duration | Batch | Training Type | Time |
|---|---|---|---|---|---|
|
1 |
08-10-2024 |
3 – 6 Months |
Regular (Mon-Sat) |
Online/Offline |
10-1Pm / 11:30-2:30Pm / 1-4Pm
|
|
2 |
15-10-2024 |
3 – 6 Months |
Regular (Mon-Sat) |
Online/Offline |
10-1Pm / 11:30-2:30Pm / 1-4Pm
|
|
3 |
22-10-2024 |
3 – 6 Months |
Regular (Mon-Sat) |
Online/Offline |
10-1Pm / 11:30-2:30Pm / 1-4Pm
|
|
4 |
29-10-2024 |
3 – 6 Months |
Regular (Mon-Sat) |
Online/Offline |
10-1Pm / 11:30-2:30Pm / 1-4Pm
|
|
5 |
30-10-2024 |
3 – 6 Months |
Regular (Mon-Sat) |
Online/Offline |
10-1Pm / 11:30-2:30Pm / 1-4Pm
|
Trainer Profile of Data Science Course In Pune
Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples.
Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.
Freshers/ Professional Job Opening for Data Science Training in Pune
As candidates complete a data science course with certification then we provide them with proper guidance about the interview procedure.
Test them with internal mock tests and interviews then we will give them an interview call.The industry wants the data scientist more and more right this time and also in the future so, there is a huge availability of jobs in this sector.
Enhance the marketability of your resume with Data Science training in Pune at Analytiq Learning. We will support you until you get placed in the company. So create your path with Analytiq Learning, get trained and get placed.
Where a professional can get a Job
Data Scientist
Data Engineer
Algorithm Specialist
DevOps Engineer
Data Analyst
Senior Software Engineer
Career Progression and Salary Trends
Course Completion Certificate
Syllabus Of Data Science in Pimpri-Chinchwad
- Types of Variable
- Types of Datatype
- Types of Modifiers
- Types of constructors
- Introduction to OOPS concept
- Types of OOPS concept
- Introduction to Java Server Pages
- Introduction to Servlet
- Introduction to Java Database Connectivity
- How to create Login Page
- How to create Register Page
- Introduction to Big Data
- Characteristics of Big Data
- Big data examples
- BigData Inroduction,Hadoop Introduction and HDFS Introduction
- Hadoop Architecture
- Installing Ubuntu with Java on VM Workstation 11
- Hadoop Versioning and Configuration
- Single Node Hadoop installation on Ubuntu
- Multi Node Hadoop installation on Ubuntu
- Hadoop commands
- Cluster architecture and block placement
- Modes in Hadoop
– Local Mode
– Pseudo Distributed Mode
– Fully Distributed Mode - Hadoop components
– Master components(Name Node, Secondary Name Node, Job Tracker)
– Slave components(Job tracker, Task tracker) - Task Instance
- Hadoop HDFS Commands
- HDFS Access-Java Approach
- MapReduce Introduction
- Understanding Map Reduce Framework
- What is MapReduceBase?
- Mapper Class and its Methods
- What is Partitioner and types
- Relationship between Input Splits and HDFS Blocks
- MapReduce: Combiner & Partitioner
- Hadoop specific Data types
- Working on Unstructured Data Analytics
- Types of Mappers and Reducers
- WordCount Example
- Developing Map-Reduce Program using Eclipse
- Analysing dataset using Map-Reduce
- Running Map-Reduce in Local Mode.
- MapReduce Internals -1 (In Detail) :
– How MapReduce Works
– Anatomy of MapReduce Job (MR-1)
– Submission & Initialization of MapReduce Job (What Happen ?)
– Assigning & Execution of Tasks
– Monitoring & Progress of MapReduce Job
– Completion of Job
– Handling of MapReduce Job
– Task Failure
– TaskTracker Failure
– JobTracker Failure - Advanced Topic for MapReduce (Performance and Optimization) :
– Job Sceduling
– In Depth Shuffle and Sorting - Speculative Execution
- Output Committers
- JVM Reuse in MR1
- Configuration and Performance Tuning
- Advanced MapReduce Algorithm :
- File Based Data Structure
– Sequence File
– MapFile - Default Sorting In MapReduce
– Data Filtering (Map-only jobs)
– Partial Sorting - Data Lookup Stratgies
– In MapFiles - Sorting Algorithm
– Total Sort (Globally Sorted Data)
– InputSampler
– Secondary Sort - MapReduce DataTypes and Formats :
- Serialization In Hadoop
- Hadoop Writable and Comparable
- Hadoop RawComparator and Custom Writable
- MapReduce Types and Formats
- Understand Difference Between Block and InputSplit
Role of RecordReader
FileInputFormat
ComineFileInputFormat and Processing whole file Single
MapperEach input File as a record
Text/KeyValue/NLine InputFormat
BinaryInput processing
MultipleInputs Format
DatabaseInput and Output
Text/Biinary/Multiple/Lazy OutputFormat MapReduce Types
TOOLS:
Apache Sqoop
– Sqoop Tutorial
– How does Sqoop Work
– Sqoop JDBCDriver and Connectors
– Sqoop Importing Data
– Various Options to Import Data
– Table Import
– Binary Data Import
– SpeedUp the Import
– Filtering Import
– Full DataBase Import Introduction to SqoopeApache Hive
-What is Hive ?
– Architecture of Hive
– Hive Services
– Hive Clients
– How Hive Differs from Traditional RDBMS
– Introduction to HiveQL
– Data Types and File Formats in Hive
– File Encoding
– Common problems while working with Hive
– Introduction to HiveQL
– Managed and External Tables
– Understand Storage Formats
– Querying Data– Joins, SubQueries and Views
– Writing User Defined Functions (UDFs)
– Data types and schemas
– Querying Data
– HiveODBC
– User-Defined FunctionsApache Pig :
– What is Pig ?
– Introduction to Pig Data Flow Engine
– Pig and MapReduce in Detail
– When should Pig Used ?
– Pig and Hadoop Cluster
– Pig Interpreter and MapReduce
– Pig Relations and Data Types
– PigLatin Example in Detail
– Debugging and Generating Example in Apache PigHBase:
– Fundamentals of HBase
– Usage Scenerio of HBase
– Use of HBase in Search Engine
– HBase DataModel
– Table and Row
– Column Family and Column Qualifier
– Cell and its Versioning
– Regions and Region Server
– HBase Designing Tables
– HBase Data Coordinates
– Versions and HBase Operation
– Get/Scan
– Put
– DeleteApache Flume:
– Flume Architecture
-Installation of Flume
-Apache Flume Dataflow
-Apache Flume Environment
-Fetching Twitter DataApache Kafka:
-Introduction to Kafka
-Cluster Architecture
-Installation of kafka
-Work Flow
-Basic Operations
-Real time application(Twitter)HADOOP ADMIN:
-Introduction to Big Data and Hadoop
-Types Of Data
-Characteristics Of Big Data
-Hadoop And Traditional Rdbms
-Hadoop Core Services
-Hadoop single node cluster(HADOOP-1.2.1)
-Tools installation for hadoop1x.
-Sqoop,Hive,Pig,Hbase,Zookeeper.
-Analyze the cluster using
a)NameNode UI
b)JobTracker UI
-SettingUp Replication Factor
-Introduction to Hadoop Distributed File System
-Goals of HDFS
-HDFS Architecture
-Design of HDFS
-Hadoop Storage Mechanism
-Measures of Capacity Execution
-HDFS Commands
Hadoop single node Cluster Setup for 1X series :
Hadoop Distributed File System:
www.sevenmentor.com
-Understanding MapReduce
-The Map and Reduce Phase
-WordCount in MapReduce
-Running MapReduce Job
-WordCount in MapReduce
-Running MapReduce Job
The MapReduce Framework:
-Hadoop single node cluster(HADOOP-2.7.3)
-Tools installation for hadoop2x
-Sqoop,Hive,Pig,Hbase,Zookeeper.
Hadoop single node Cluster Setup :
-Hadoop single node cluster(HADOOP-2.7.3)
-Tools installation for hadoop2x
-Sqoop,Hive,Pig,Hbase,Zookeeper.
Hadoop single node Cluster Setup :
-Introduction to YARN
-Need for YARN
-YARN Architecture
-YARN Installation and Configuration
Yarn:
-hadoop multinode cluster
-Checking HDFS Status
-Breaking the cluster
-Copying Data Between Clusters
-Adding and Removing Cluster Nodes
-Name Node Metadata Backup
-Cluster Upgrading
Hadoop Multinode cluster setup:-Sqoop
-Hive
-Pig
-HBase
-zookeeper
Hadoop ecosystem:
- Introduction to scala
- Programming writing Modes
i.e. Interactive Mode,Script Mode - Types of Variable
- Types of Datatype
- Function Declaration
- OOPS concepts
- Introduction to Spark
- Spark Installation
- Spark Architecture
- Spark SQL
– Dataframes: RDDs + Tables
– Dataframes and Spark SQL - Spark Streaming
– Introduction to streaming
– Implement stream processing in Spark using Dstreams
-Stateful transformations using sliding windows - Introduction to Machine Learning
- Introduction to Graphx
-Sqoop
-Hive
-Pig
-HBase
-zookeeper
Hadoop ecosystem:
- Introduction to Python
– What is Python and history of Python?
– Unique features of Python
– Python-2 and Python-3 differences
– Install Python and Environment Setup
– First Python Program
– Python Identifiers, Keywords and Indentation
– Comments and document interlude in Python
– Command line arguments
– Getting User Input
– Python Data Types
– What are variables?
– Python Core objects and Functions
– Number and Maths
– Week 1 Assignments - List, Ranges & Tuples in Python
– Introduction
– Lists in Python
– More About Lists
– Understanding Iterators
– Generators , Comprehensions and Lambda Expressions
– Introduction
– Generators and Yield
– Next and Ranges
– Understanding and using Ranges
– More About Ranges
– Ordered Sets with tuples - Python Dictionaries and Sets
-Introduction to the section
– Python Dictionaries
– More on Dictionaries
– Sets
– Python Sets Examples - Python built in function
-Python user defined functions
-Python packages functions
-Defining and calling Function
-The anonymous Functions
– Loops and statement in Python
-Python Modules & Packages - Python Object Oriented
– Overview of OOP
– Creating Classes and Objects
– Accessing attributes
– Built-In Class Attributes
– Destroying Objects - Python Object Oriented
– Overview of OOP
– Creating Classes and Objects
– Accessing attributes
– Built-In Class Attributes
– Destroying Objects
- Python Exceptions Handling
– What is Exception?
– Handling an exception
– try….except…else
– try-finally clause
– Argument of an Exception
– Python Standard Exceptions
– Raising an exceptions
– User-Defined Exceptions - Python Regular Expressions
– What are regular expressions?
– The match Function
– The search Function
– Matching vs searching
– Search and Replace
– Extended Regular Expressions
– Wildcard - Python Multithreaded Programming
– What is multithreading?
– Starting a New Thread
– The Threading Module
– Synchronizing Threads
– Multithreaded Priority Queue
-Python Spreadsheet Interfaces
-Python XML interfaces - Using Databases in Python
– Python MySQL Database Access
– Install the MySQLdb and other Packages
– Create Database Connection
– CREATE, INSERT, READ, UPDATE and DELETE Operation
– DML and DDL Oepration with Databases
– Performing Transactions
– Handling Database Errors
– Web Scraping in Python
- Python For Data Analysis –
Numpy:
– Introduction to numpy
– Creating arrays
– Using arrays and Scalars
– Indexing Arrays
– Array Transposition
– Universal Array Function
– Array Processing
– Arrary Input and Output - Pandas:
– What is pandas?
– Where it is used?
– Series in pandas
– Index objects
– Reindex
– Drop Entry
– Selecting Entries
– Data Alignment
– Rank and Sort
– Summary Statics
– Missing Data
– Index Heirarchy
- Matplotlib: Python For Data Visualization
- Welcome to the Data Visualiztion Section
- Introduction to Matplotlib
- Django Web Framework in Python
- Introduction to Django and Full Stack Web Development
- Introduction to R
- Installation of R
- Types of Datatype
- Types of Variables
- Types of Operators
- Types of Loops
- Function Declaration
- R Data Interface
- R Charts and Graphs
- R statistics
- git
- nmpy
- scipy
- github
- matplotlib
- Pandas
- PyQT
- Theano
- Tkinter
- Scikit-learn
- NPL
- naive bayes
- Linear Regression
- K-nn
- C-nn
Frequently Asked Question on Data Science Course
Yes, We provide it For Groups and one-time fees payers.
Yes we are providing our own institution certificate.
Sorry We don’t have any refund policy
