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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- Regular: 2 Batches
- Weekends: 2 Batches
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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 |
---|---|---|---|---|---|
07/10/2024 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
08/10/2024 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
05/10/2024 | Data Analytics | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
05/10/2024 | 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
The Data Analytics Course in Pune deals with both unstructured and structured data. Data Science is a broad term that incorporates all aspects of data cleaning, processing, and analysis. Simply put, data science refers to approaches used to extract insights and information from data. Whether in India or elsewhere, the demand for a Data Analytics Course in Pune is great and will continue to be so for a long time. As each vertical in the IT business grows, so does the demand for various sorts of data. Thus, one may picture the expanding demand for data analysts shortly, as well as the necessity for Best Data Analytics Training.
Explore the role of a Business Analyst and its value to organizations. Learn how BAs drive business success through analysis, strategy, and data-driven decision-making. If you are a programmer or a new graduate looking to switch to an exciting new career track, or a data analyst seeking to make the transition into the technology sector. This class will teach you the basic advanced techniques utilized by real-world industry data scientists.
SQL
SQL is a widely used technology for working with Relational Database systems, allowing for insertion, searching, updating, and deleting records. It is an ANSI standard language for big datasets and can perform tasks like database design, deletion, retrieval, and management. SQL syntaxes are almost identical across multiple databases, consisting of four core components: Clauses, Expressions, Queries, and Statements. QA of SQL Session
How does the SQL Course in Pune at SevenMentor help in the marketing industry?
SQL is a great tool for breaking down customers via demographics, purchasing behavior, and website activity, allowing for personalized marketing communications. It also helps with campaign analysis, tracking performance indicators, doing A/B tests, and analyzing sales data to detect patterns and optimize sales strategy. This data can help you better target your customers.
What's the purpose of SQL in cybersecurity?
SQL is crucial for cybersecurity as it prevents database attacks. Professionals must understand SQL operations to avoid SQL injections, which can allow ethical hackers to access user login information and export data.
Power Bi
Power BI is a suite of software tools that transforms data from various sources into logical, engaging, and dynamic results. It facilitates data integration, visualization, and feedback exchange. Power BI Desktop, services, and business technologies help generate, share, and absorb market intelligence efficiently. It can generate reports on customer interaction data, real-time dashboards, and browseable reports of shorter segments.
QA of Power BI session
What are the primary programs, apps, and options for purchasing and using Microsoft Power BI?
Power BI Desktop is the tool used to create visualizations. Power BI Pro is a subscription-based service. It enables you to share content developed with Power BI Desktop and upload it to Power BI Server, Microsoft's cloud-based server. Power BI Premium runs on a dedicated cloud server. Power BI Mobile is a mobile app. Power BI Embedded enables you to include data analysis into your applications. Power BI Report Server is a non-cloud service that can be installed on your servers.
Identify the four major procedures for developing and submitting a Power BI report to the Power BI Server. This normally consists of: Get and Transform Data, commonly known as Power Query, which is a tool that allows you to import and manipulate data. Data Data modeling. This enables for the addition of computed columns, measurements, and linkages between data sources. Introducing data visualizations. Publish to the Power BI Service.
Tableau
Tableau, created in 2004, is a cutting-edge analytic system that has transformed data analysis and visualization. It is the market-leading solution for modern business intelligence, allowing individuals and businesses to make the most of their data. Tableau uses relational databases, automated analytic programs, public cloud services, and worksheets to find graph-type data visualizations. It also includes mapping features, making it one of the top BI software options in recent years.
QA of Tableau session
What distinguishes Tableau from other business intelligence tools classes in Pune?
The primary difference between traditional BI tools and Tableau is efficiency and speed.
Traditional BI tool architecture is limited in terms of hardware. Tableau does not have any dependencies.
Traditional business intelligence systems rely on complicated technologies, whereas Tableau leverages simple associative search to make it dynamic.
Traditional business intelligence solutions do not handle multi-thread, in-memory, or multi-core computing, however Tableau does after integrating complicated technology.
Traditional BI systems provide a predefined data display, whereas Tableau performs predictive analysis for business operations.
Advanced Excel
Advanced Excel users understand how to acquire, organize, and present data in a visually appealing manner. To create amazing Excel workbooks, you'll need a good grasp of Excel capabilities including Power Query (Get & Transform Data), Databases, column styles, and layout choices. Advanced Excel knowledge includes the capacity to handle large amounts of data efficiently using spreadsheets, computations, algorithms, and statistics. By addressing complicated problems in Excel, Advanced Excel can make this process simpler. Conditional formatting, Advanced Formulas, Power Query, and Advanced Charting are some of the most popular learning alternatives for students who want to improve their MS Excel skills. Thus by use of Excel users and corporations can process large databases and effectively mitigate the need for advanced software tools to generate valuable statistics.
Data Analytics:
With PowerBI and Tableau, you can explore and research your data in an interactive environment with immediate feedback. Data analytics classes in Pune will teach you how to manipulate data using RDDs and Dataframes. Its functional availability of REPL surrounds and character makes it ideal for a distributed computing environment such as Spark. It covers both the theoretical elements of statistical ideas as well as their implementation in Python and R. If you're new to Python, don't worry—Data Analytics Courses in Pune start with a crash course. If you have previous programming experience or are new to programming, this is the option for you. This class demonstrates how to set up Microsoft Windows-based PCs; the sample code will work on Linux or macOS desktop computers. Data Analytics Training in Pune is the collection of data that must be analyzed to identify trends and critical insights. These trends are important and relevant to customers and businesses.
Machine Learning and Data Science: Spark's basic functionality and built-in packages make it easy to construct sophisticated algorithms like Recommendations with a few lines of code. We'll look at many sorts of calculations and datasets, including MapReduce, PageRank, and Graph.
What exactly is Spark? If you work as an analyst or data scientist, you will be exposed to a variety of information systems. SQL, Python, R, Java, and so on. With Spark, you have an engine that allows you to utilize the same way to produce your code, run machine learning algorithms, and play and explore massive volumes of data. Discover how a business analyst contributes to organizational success through data analysis, strategy formulation, and effective decision-making.
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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