Data Analytics Certification Course in Pune
Data Analysis where dealing with unstructured and structured data, Data Science is a field that encompasses anything related to data cleansing, preparation, and analysis. Put simply, Data Science is an umbrella term for techniques used when trying to extract insights and information from data.
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Batch Timing
- Regular: 2 Batches
- Weekends: 2 Batches
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Class Room & Online Training Quotation
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Key Features
Skill Level
Beginner, Intermediate, Advance
We are providing Training to the needs from Beginners level to Experts level.
Course Duration
90 Hours
Course will be 90 hrs to 110 hrs duration with real-time projects and covers both teaching and practical sessions.
Total Learners
2000+ Learners
We have already finished 100+ Batches with 100% course completion record.
Assignments Duration
50 Hours
Trainers will provide you the assignments according to your skill sets and needs. Assignment duration will be 50 hrs to 60 hrs.
Support
24 / 7 Support
We are having 24/7 Support team to clear students’ needs and doubts. And special doubt clearing sessions every week.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
Batch Schedule
| DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
|---|---|---|---|---|---|
| 16/12/2024 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
| 17/12/2024 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
| 14/12/2024 | Data Analytics | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
| 14/12/2024 | Data Analytics | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
Data Analytics Exams & Certification
SevenMentor Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.
Our certification at SevenMentor is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
About Data Analytics
Introduction to Data Analytics
Data Analytics is the science of examining raw data to uncover trends, draw conclusions, and support decision-making. It is a critical process that enables organizations to make informed decisions, improve operational efficiency, and gain a competitive advantage. By using techniques like statistical analysis, data visualization, and predictive modeling, Data Analytics helps transform complex datasets into actionable insights.
Why Does Data Analytics Have Tremendous Scope in Future?
Businesses generate vast amounts of information daily, from customer behaviors to operational metrics. The ability to analyze and interpret this large amount of data is an essential task to gather important consumer insights. Data Analytics serves as a bridge between raw information and strategic business outcomes, making it an indispensable tool across various industries such as Business Management, Finance, Healthcare, Sports, Entertainment and many more.
The field of Data Analytics is growing rapidly as businesses invest heavily in data-driven strategies. This creates immense opportunities for professionals equipped with Data Analysis Skills, making it one of the most sought-after domains in today’s technological job market.
Who Is This Data Analytics Course in Pune For?
The Data Analytics Course offered by SevenMentor Institute in Pune is designed to cater to a diverse group of learners. This makes it suitable for individuals at various stages of their careers or with varying levels of expertise to learn and join the Data Analytics Industry. Here's a detailed breakdown of who can benefit from taking our Data Analytics Training Program In Pune:
1. Fresh Graduates
Students who have recently completed their degree in fields like Computer Science, Statistics, Mathematics, Economics, or any related discipline and are looking to kickstart their Data Analytics Careers in Pune.
Apart from this graduates from any background who want to venture into the world of data analytics to secure lucrative roles in leading organizations.
2. Working Professionals
Professionals from non-technical fields who wish to transition into the high-growth domain of data analytics.
Developers, testers, and IT support specialists aiming to enhance their skills and move into analytics-focused roles.
Individuals seeking to upskill and remain competitive in the job market by acquiring data-driven decision-making skills.
3. Entrepreneurs and Business Owners
Entrepreneurs who want to leverage data analytics to optimize their operations, understand customer behavior, and make informed business decisions.
Small business owners who are looking to implement data-driven strategies to improve efficiency and profitability.
4. Data Enthusiasts
Individuals passionate about working with data, solving problems, and uncovering patterns through Data Analysis are welcome.
Hobbyists looking to turn their interest for Data Analytics into a full-fledged career can also join SevenMentor’s Data Analytics Courses in Pune.
Thus, our Data Analytics Classes provide the perfect opportunity for anyone keen on developing actionable insights from data and excelling in a rapidly evolving, data-centric job market. Whether you’re starting fresh, upskilling, or pivoting your career, this Data Analytics Program in Pune offers the tools and knowledge to succeed.
What Will You Learn at SevenMentor Institute's Data Analytics Course?
SevenMentor’s Data Analytics training in Pune is designed to equip you with the technical skills, analytical mindset, and practical experience needed to excel in the field.
Key Learning Outcomes:
Data Basics: Understand data collection, preprocessing, and the analytics lifecycle.
Data Tools: Master Excel, SQL, Python, and Tableau for data manipulation and visualization.
Statistical Analysis: Learn techniques like regression, correlation, and hypothesis testing.
Advanced Analytics: Explore predictive modeling, time-series analysis, and basic machine learning.
Real-World Projects: Work on industry-specific case studies and a capstone project.
Soft Skills: Improve communication, problem-solving, and stakeholder reporting.
By completing this Data Analytics course in Pune, you’ll be job-ready and have a valid certification. With a comprehensive understanding of Data Analysis, Visualization, and Insights-Driven Decision Making you can achieve unhindered success in the technical domains. Our training is also supported by hands-on experience and a portfolio-ready project which makes you ready to take the leap immediately after this Data Analytics Certification in Pune.
Conclusion:
Build a high-demand career by joining SevenMentor’s Data Analytics Certificate Training in Pune. Let us be your gateway to mastering the art of data-driven decision-making and turn your passion for data into a rewarding career. Join our Free Data Analytics Demo Session and experience firsthand the quality of training we offer. Interact with our trainers, explore the Data Analytics curriculum, and get all your questions answered even before you enroll in this course. Call us or visit our website to register for the free demo session and join this training program in Pune.
Online Classes
Joining the Data Analytics Online Training program enhances your skills in data evaluation and visualization which will be helpful for making decisions related to the business expansion and product development. SevenMentor Online Data Analytics Training you'll learn different analytics tools and techniques, how to use SQL databases, the languages of R and Python, the way to generate data visualizations, and how to apply data and predictive analytics within a company environment. Learn perform machine learning utilizing scikit-learn, manipulate DataFrames from pandas, use the SciPy library of mathematical patterns, and how to analyze data in Python using multi-dimensional arrays in NumPy. Upon completion of the Best Data Analytics Courses Online, you are ready to crack the Data Analytics Certification Exam which will help you to get hired in top MNC’s.
Course Eligibility
- Freshers
- BE/ Bsc Candidate
- Any Engineers
- Any Graduate
- Any Post-Graduate
- Working Professionals
Syllabus of Data Analytics
- Python Introduction
- What is Python and history of Python?
- Installing Anaconda, Jupyter Notebook
- First Program
- Python Identifiers, Keywords and Indentation
- Comments
- Getting User Input
- Python Data Types
- What are keywords
- What are variables?
- Python Inbuilt Functions
- if-else
- Elif
- While loop
- For loop
- Range Function
- Break
- Assert
- Pass
- Return
- Coding Assignment
- What are Data Structures?
- Lists in Python
- Code Walkthrough on Lists
- Understanding Iterators
- Tuple in Python
- Code Walkthrough on Tuple
- Dictionaries in Python
- Code Walkthrough on Dictionaries
- Sets in Python
- Code Walkthrough on Sets
- More examples on Data Structures
- What are functions in Python?
- Defining and Calling Functions
- Inbuilt Functions
- User Defined Functions
- Lambda Function
- Split Function
- Strip Function
- Map Function
- Filter Function
- Format Function
- Code Walkthrough on User Define Functions
- Regular Expressions Basics
- Why do we need Object Oriented Programming?
- What is a class?
- What is an object?
- What is Self?
- Constructors
- Global and local variables
- Static and Dynamic Variables
- Abstraction
- Inheritance
- Encapsulation
- Polymorphism
- Code Walkthroughs on OOP
- Why do we need to handle exceptions?
- Errors in Python
- Compile-Time Errors
- Runtime Errors
- What is Exception?
- try....except...else
- try-finally clause
- Raising an exceptions
- User Defined Exceptions
- Graphical User Interface in python
- Tkinter
- Button Widget ,Label Widget and Text Widge
- SQL connection with Python using SQLITE Library
- Multi-Threading and Multi-Processing
- Introduction to Web-scraping
- Beautiful Soup Library
- Numpy Library for Data Analysis
- Code Walkthrough On Numpy Library
- Pandas Library for Data Analysis
- Code Walkthrough On Pandas Library
- Matplotlib Library for Data Analysis
- Code Walkthrough On Matplotlib Library
- Revision Sessions
- Assignment Discussions
- Defining the Business Problem
- Constraints
- Flow Diagram
- Libraries Used
- Results and Conclusion
- Future Scope
- References
- What is SQL?
- Why do we need SQL?
- What is DataBase Management System?
- Types of DBMS
- Execution Of SQL query
- Introduction to MySQL
- Installation of MySQL server
- Download sample database
- Load sample database to work
- Difference Between SQL and MYSQL
- Basic SELECT Statement
- Limit/Offset
- OrderBy
- Distinct
- Where
- Comparison Operators
- Null
- Logical Operators
- Aggregate Operators(Count, Max, Min, Avg, Sum)
- Group By
- Having
- Order Of Keywords
- Wildcard Operators
- What are Joins?
- Inner Join
- Outer Join
- Left Join
- Right Join
- Self Join
- SubQueries/NestedQueries /Inner Queries
- Triggers
- Stored Procedures
- DML.:Insert
- DML.:Update, Delete
- DDL:Create Table
- DDL.:Alter:Add,Drop,Modify
- DDL.:Drop Table,
- Truncate,Delete
- DCL:Data Control Language: GRANT,REVOKE
- Date And Time Functions
- Customizing Excel
- File Formats.
- Advanced Paste Special Techniques
- Using Basic Functions
- New In Excel 2013 / 2016 & 365
- Formatting And Proofing
- New Charts - treemap & Waterfall
- Using Power Map And Power View
- Quick Analysis Tool
- Mathematical Functions
- Sorting And Filtering
- Various Charts Gantt Chart, Doughnut Chart, Pie, Column & Area Chart
- Sorting Data Using Custom Sort
- Dashboard Designing
- Data Validation, Creating Drop Down Lists Using Different Data Sources
- Protecting Excel
- Text Functions
- Printing Workbooks
- What If Analysis
- Pivot Tables
- Logical Functions
- Arrays Functions
- Data Validation
- Charts And Slicers
- Lookup Functions
- Smart Lookup And Manage Store
- Excel Dashboard
- Introduction to Data warehouse
- Data warehouse Tools
- What is Power BI?
- Power BI – Flow of Activity
- Building Blocks of Power BI
- Power BI – Primary Tools : Power Pivot, Power Query,
- Power View, Power Map, Power Q&A, Power BI Desktop Power BI Desktop
- Power BI Desktop – Install
- Data Sources and Connections
- Connect to Data in Power BI Desktop
- How to use Query Editor in Power BI
- Advanced Data Changes and Transformation
- Views in Power BI Desktop
- Modeling Data - Manage Data Relationship,
- Create Calculated Columns, Optimize Data Models
- Data Types in DAX
- Calculation Types
- DAX Functions: Date and Time, Time Intelligence,
- Information, Logical, Mathematical, Statistical, Text
- Aggregate Measures in DAX
- Table Relationships and DAX
- Why Data Visualization
- Practices for Data Visualization
- How to use Visual in Power BI
- Reports in Power BI
- Charts in Power BI (Scatter, Waterfall, Funnel)
- Slicers
- Map Visualizations
- Gauges and Single Number Cards
- What Are Custom Visuals?
- Office Store
- Downloading Custom Visuals
- Importing Custom Visuals in Power BI Report
- KPI Visuals
- Data Binding in Power BI
- Introduction To Power BI Services
- Licensing Part For Power BI
- What Is Data Gateways & Content Packs
- Power Bi Workspace
- Data Gateways And Configuration
- Power App,report Publishing
- Dashboard Creation And Usages
- Pinning Visuals And Report Pages
- Applying Rls To Reports
- Adding Of Tiles To Dashboard
- Power BI Datasets
- Publishing And Sharing Of Reports
- Dashboard
- Dashboard vs Reports
- Creating a Dashboard
- Dashboard Tiles
- Pinning Tiles
- Quick Insights with Power BI
- Power BI Publisher for Excel
- Why do we need to learn Probability and Statistics?
- Descriptive Statistics Central Tendency (Mean/Median/Mode)
- Deviation (Standard Deviation/Variance)
- Population and Sample
- Distributions
- Why do we care about Distributions?
- What is Random Variable?
- Discrete and Continuous Random Variable
- Normal Distribution/Gaussian Distribution
- PDF and CDF of Gaussian distribution
- Uniform Distribution
- Q-Q Test
- K-S Test
- What is Sampling?
- Types of Sampling
- Correlation Vs Causation
- Hypothesis Testing
- Confidence Interval
- Permutation Resampling Test
- A/B Testing
- Case Study-1
- Case Study-2
- Industry Case Studies
- Case Study-1
- Case Study-2
- Data visualization and analytics
- Elements of the Tableau dashboard
- Understanding the significance of Tableau Desktop and Tableau Server
- Extensively work with data visualization using line, bar, area, stacked bar, and multiline charts
- Connecting with Excel data
- Deep dive into Tableau Graphs
- Various data representation techniques
- Like Tables
- Graphs and Maps understanding the basics of Tree Map
- Histogram
- Filled Map
- Symbol Map
- Pie Chart
- Trend Lines
- Tableau Table Joins
- Understanding the conditions and methodology for joining Tables
- Knowledge of Multi Table Joins
- Working with Metadata
- Working with Table
- Creation of Calculated Fields
- Duplicating and renaming columns
- Conversion of data types
- Default aggregation
- Tableau Hierarchy creation
- Static Group creation
- Deploying functions for Group creation
- The various options of Sorting in Tableau
- Working with Dual Line Charts
- Multiline Chart
- Donut Chart
- Pie Chart
- Working with Measure Name and Measure Values
- Learning about the different type of Single Axis Histogram
- Dual Axis Histogram
- Representation of numerical data through quartiles using Box Plot Sorting of Multi-dimensional graph
- Deploying combined fields and setting sorting priorities
- Learning about the different type of Single Axis Histogram
- Dual Axis Histogram
- Understanding how to design and work with Pareto Chart
- Deploying Motion Chart for data that changes over
- time using x and y axes
- Working with Funnel Chart for data that progressively reduces with each stage.
- Understanding the concept of Set which is an entity whose composition is based on a computed condition
- Deploying Waterfall Chart for understanding the cumulative effect of sequential values
- Learning how to perform various operations on Strings like concatenation Manipulation and analyzing with String Calculated Fields
- Working with Date Calculated Fields for performing operations like parsing Modifying and analyzing
- Informal introduction to PLSQL
- Advantages of PLSQL
- Datatypes in PLSQL
- Program structure of PLSQL
- Embedding SQL statements
- Using conditional statements and loops
- What is an Exception?
- Describing Exception types
- Handling system defined exceptions
- Handling user defined exceptions?
- Sql code vs Sql errm
- Pragma exception_init
- What is cursor?
- How to create cursor?
- Using cursors in PLSQL
- How to create explicit cursor?
- Creation of for loop cursor
- What are cursor parameters?
- How to use for update clause?
- What is ref cursors?
- Creating procedures in PLSQL
- Working with procedure parameters
- IN parameter
- OUT parameter
- INOUT parameter
- How to create procedures with cursors
- How procedures return records?
- What is Pragma autonomous transaction?
- Importance of function
- How to create functions?
- Difference between procedures and functions
- How to use inline functions?
- How to create triggers?
- Benefits of trigger
- How to trigger a trigger?
- Using DML trigger & DDL trigger
- How to audit database using triggers?
- What are database level trigger?
- What is a Package?
- Reasons to use packages
- What is package specification?
- What is package body?
- How to instantiate package?
- How to initialize instantiated package?
- What are all the package state?
- What is collection?
- How to use arrays?
- Using nested tables
- How to use index by value?
- Listing types of collection methods.
- General overview and discussion about DBA Concepts
Control-Flow Statements:
Data Structures:
Functions:
Object Oriented Programming:
Exception Handling and GUI :
Miscellaneous Topics :
Project Discussion:
SQL Introduction:
Basic SQL Keywords:
JOINS:
DMIL/DDL
Advanced Excel
Introduction to Power BI
Data Analysis Expressions (DAX)
Data visualization
Custom visualizations
Power BI Services
Power BI Q&A
Probability and Stats
Distributions and Various Tests:
Inferential Statistics:
Industry Case Studies
Overview of Tableau
TABLEAU
Deep dive into Tableau Graphs
Normal Tables and Multi measure Tables
Hierarchy & Groups
Tableau Sorting
Dual Axis Graphs
Box Plot
Histogram
Pareto Chart
Motion Chart
Funnel Chart
Sets
Waterfall Chart
String Calculated Fields
Date Calculated Fields
PLSQL Introduction To PLSQL
Uderstanding Exception Handling
Creating And Using Cursors
Creation Of Stored Procedures
Creating & Using Functions
Triggers In PLSQL
Creating & Using Packages
Collections In PLSQL
Trainer Profile of Data Analytics Training in Pune
Our Trainers explains concepts in very basic and easy to understand language, so the students can learn in a very effective way. We provide students, complete freedom to explore the subject. We teach you concepts based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates can learn in our one to one coaching sessions and are free to ask any questions at any time.
- Certified Professionals with more than 8+ Years of Experience
- Trained more than 2000+ students in a year
- Strong Theoretical & Practical Knowledge in their domains
- Expert level Subject Knowledge and fully up-to-date on real-world industry applications
Proficiency After Training
- Learn the all aspects of Data Analytics
- proficient in HIVE, R, Scala, and SQL, or Structured Query Language
- Understand the ecosystem of Data Analytics
- Practicals on Pig Hive Hbase
- Practicals on commercial distributions
Frequently Asked Questions
- Learn Data Analysis from Beginning
- Complete Data Science Bootcamp
- Data Analysis with Pandas and Python
- Advanced Excel Formulas and Functions
- College Data Analysis Courses
- Learn Python for Data Analysis and Visualization
- SQL for Data Analysis, etc.
Students Reviews
Completed Data Analytics Training from Sevenmentor after completing my Graduation. It was very nice experience to learn from here. Good infrastructure good teaching staff , n it is worth in fees they charge
- Dhiraj Bhosale
I have done Data Analytics claasses from SevenMentor. It was a nice experience. All the topics were done theoritically & practically on real devices. Trainers are also very knowledgeable & helpful. Availability of lab 24*7 also helped a lot. Would love to refer everyone who wanna make career in Development….
- Mrunal Sawankar
completed Data Analytcis classes From Sevenmentor, the experience, trainers are best and working professionals. Best institute for Hadoop training in pune. Go for SevenMentor.
- shubham somkuwar
Corporate Training
Corporate Data Analytics Training is designed to provide extensive knowledge of Data Analysis like Data Collection, Extraction, Cleansing, Data Integration with high accuracy so your existing employee will help in constructing Prediction Models for Information Visualization and deploying the solution. Our highly experienced trainers are constantly there to handle the new Generation programs with newest versions and enable your workforce to handle complex situations. As Part of the Corporate Data Analytics Training, your entire workforce will be introduced with Statistical Evaluation, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Programming languages such as R and Python. Be ready to match footsteps with the ongoing trend and transformation towards AI and see the growth of your organization with empowered employees.
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