Data Analytics
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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About Data Analytics
Regardless of whether it is India or elsewhere in the world, the requirement of Data Analyst is very high and will remain significant for quite a while. Each of the verticals from the IT industry is growing like anything, so is the requirement for different types of data. Thus, one can envision the rising demand for Data Analyst in the near future, and the need for Best Data Analytics Training in Pune is required, where We provide you with an opportunity to master the trademarks of Data Analyst, through our intensive training program!
For Pursuing Best Data Analytics Courses in Pune it doesn’t need a previous qualitative or math background. It starts by introducing basic concepts like the mean, median mode etc. and eventually covers all elements of an analytics (or) data science profession from assessing and preparing raw information to visualize your findings. 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 stands for Structured Query Language, which is transcribed "S-Q-L" or "See-Quel" in certain cases. The SQL tool is the mainstream technology for working with Relational Database systems. Inserting, searching, updating, and deleting records in a database are all possible with SQL. SQL may do a variety of different tasks, including data optimization and administration. SQL is an ANSI (American National Standards Institute) standard language for working with big datasets. It may be used to do tasks such as database design, deleting, retrieving and altering records, and so on. Database Syntax is used by relational databases such as MySQL, Oracle, MS SQL Server, Sybase, and others. Although many RDBMS utilize a few distinct operations and even unique SQL markup languages, SQL syntaxes used in multiple databases are now almost identical. Clauses, Expressions, Queries, and Statements are the four core components that make up the SQL language. These are used for database control, retrieval, flow, and management. This course teaches students about most of the functionalities and many other elements of SQL Script and Database Administration tools such as MS SQL and MySQL.
Power BI
Power BI is a number of software resources, applications, and connections that operate together to transform data from disparate sources into logical, graphically engaging, and dynamic results. Your data could be in the form of an Excel spreadsheet or a combination of hybrid database systems that are both cloud-based and on-premises. Power BI makes it simple to integrate your sources of data, visualize and understand what matters, and share your feedback with whoever you choose. Power BI Desktop, the services, and the business technologies are all built to help you generate, share, and absorb market intelligence in the most efficient way possible for you and your position. You may use Power BI to produce reports about your organization on customer interaction data, as well as real-time dashboards in the Power BI service to check inventories and production performance. Depending on a Power BI database, you may produce a browseable report of shorter segments bills.
Tableau
Tableau was developed in 2004 as the product of a Stanford computer engineering study focused on facilitating the efficiency of analyzing and making data more available to consumers through visualization. Tableau is an advanced analytic solution that is revolutionizing the way we use the information to analyze issues by enabling individuals and companies to get the most out of their data. Tableau framework, as the market-leading solution for contemporary business intelligence, made it easier for visitors to navigate and process information, as well as find and exchange ideas that can transform organizations and the planet. Studying Tableau will benefit you in your job and career if you're an analyst, statistician, student, instructor, executive, or large organization. To build graph-type data visualizations, Tableau tools search relational databases, automated analysis packages, public cloud services, and worksheets. An in-memory information processor may also be used to collect, retain, and recover information. Tableau also offers mapping capabilities, allowing it to plot positions and link to database spatial files. Due to such features Tableau has been named as one of the best BI Software in recent years.
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: Utilizing PowerBI and Tableau you are able to examine and research your data in an interactive environment with quick feedback. Data Analytics Classes in Pune will illustrate how to leverage the power of RDDs and Dataframes to manipulate data. It’s functional availability of REPL surroundings and character makes it suited for a distributed computing framework like Spark. It covers the theoretical aspects of Statistical concepts and the implementation using Python and R. If you are new to Python, don’t worry — Data Analytics Courses in Pune begins with a crash course. If you have done some programming before or you’re new in Programming, you should pick this. This class shows you how to get set up on Microsoft Windows-based PCs; the sample code will run on Linux or macOS desktop systems.
Machine Learning along with Data Science: The core functionality of Spark and its built-in libraries assists to implement complex algorithms like Recommendations with very few lines of code. We’ll cover different types of calculations and datasets such as MapReduce, PageRank and Graph datasets.
What’s Spark? If you are an analyst or a data scientist, then you’re utilized to have multiple systems for working with information. SQL, Python, R, Java, etc.. With Spark, you’ve got an engine where you use the identical method to productionize your own code, conduct machine learning algorithms then can play and explore with large amounts of information.
Best Data Analytics Training in Pune providing exposure to Data Science, Big Data, Machine Learning, and Data Analytics. Defour Analytics has experienced and professional college. We have designed a specialized training program in Data Analytics Course in Pune, Data Science Courses, machine learning courses from Pune, python courses in Pune, SAS Training in Pune. At Sevenmentor, we have designed a specialized training and placement program in Data Analytics. Our corporate office offers state of the art infrastructure and training facilities. Our experienced and professional in house faculty, train and mentor candidates based on the requirements of the industry. We provide our candidates with unlimited interview calls until they get placed. Candidates just need to concentrate on their training, as we provide guaranteed placement. Our aim is to make sure that each and every candidate of ours is a finished product and job-ready before setting out. All these factors contribute to making SevenMentor a niche and best training institute in Pune. When you pass the Checkpoint certification exams, it opens a range of career opportunities for the network security professionals. Our instructor-led class, as well as training for Best Data Analytics Certification in Pune , are tailored in such a manner that every candidate can make the best. Students can look and pass their exams in the first effort. Collection of data that must go to an analysis to get to know the trends and key insights is termed as Data Analytics course in Pune. These trends are essential and related to customers and business. Surveys, polls etc are some examples of Data analytics courses in Pune through which we gain information . Through surveys we get to know the trends and achieving helps business to grow. Leading and developing a trending product can cultivate a positive growth in any business.
What are the business sectors that are utilizing data analytics and machine learning?
They perform a variety of tasks related to organizing data, collecting and obtaining statistical data from them. They are also responsible for using the same to develop relational databases and to present the data in the form of graphs, charts, and tables. Data Science is a blend of various tools, algorithms, and machine learning principles with the wish to discover patterns that are hidden from the information. Data science, which is a concoction of machine learning principles, algorithms, and various tools are utilized to figure hidden patterns in data out. It is that data may be used to add value. The future of intelligence is based in science.Data Science is primarily used to make decisions and forecasts making use of predictive causal analytics and machine learning, the need for Information Analyst/Data Scientist is high and will remain important for some time. Information analytics is the process of examining data collections in order to draw conclusions about the information they contain with the assistance of specialized systems and applications. Techniques and data analytics technologies are utilized in industries. Organizations analyze and gather data associated with business processes, clients, market economics or experience. Data stored is categorized and analyzed to examine patterns and trends. Bachelor’s degree in related discipline or equivalent from a recognized college. Best Data Analytics Classes in Pune, our Data Analytics covers the whole data lifecycle starting from the extraction of cleaning, information, structuring, Data Mining, Forecasting, and reporting.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
SQL
Introduction to MySQL. Installation of MySQL server. Download sample database .Load sample database to work
Module 2:
Writing Basic SQL
Basic SELECT Statement
Selecting All Columns
Selecting Specic Columns
Writing SQL Statements
Column Heading Defaults
Arithmetic Expressions
Using Arithmetic Operators
Operator Precedence
Using Parentheses
Dening a Null
Dening a Column Alias
Using Column Aliases
Concatenation Operator
Using the Concatenation Operator
Literal Character Strings
Using Literal Character Strings
Duplicate Rows
Eliminating Duplicate Rows
Module 3:
Restricting and Sorting Data
Limiting Rows Using a Selection
Limiting the Rows Selected
Using the WHERE Clause
Character Strings and Dates
Comparison Conditions
Using Comparison Conditions
Other Comparison Conditions
Using the BETWEEN Condition
Using the IN Condition
Using the LIKE Condition
Using the NULL Conditions
Logical Conditions
Using the AND Operator
Using the OR Operator
Using the NOT Operator
Rules of Precedence
ORDER BY Clause
Sorting in Descending Order
Sorting by Column Alias
Sorting by Multiple Columns
Module 4:
Working on DDL Commands
Relational Database Management System (RDBMS)
Normalization
Create Database objects
Data Types in SQL
Alter Table Statements
Drop Table Statements
Various Constraints
Creating Views
Module 5:
Working on DML statements
Data Manipulation Language
Adding a New Row to a Table
The INSERT Statement Syntax 8-5
Inserting New Rows
Inserting Rows with Null Values
Inserting Special Values
Inserting Specic Date Values
Creating a Script
Copying Rows from Another Table
Changing Data in a Table
The UPDATE Statement Syntax
Updating Rows in a Table
Updating Two Columns with a Subquery
Updating Rows Based on Another Table
Updating Rows: Integrity Constraint Error
Removing a Row from a Table
The DELETE Statement
Deleting Rows from a Table
Deleting Rows Based on Another Table
Deleting Rows: Integrity Constraint Error
Using a Subquery in an INSERT Statement
Module 6:
Working on multiple tables and Retrieve records from multiple tables
Self-Join
Inner Join
Left Join
Right Join
Cross Join
Module 7:
Working on multiple tables and Retrieve records from multiple tables
Self-Join
Inner Join
Left Join
Right Join
Cross Join
Module 8:
Working on multiple tables and Retrieve records from multiple tables
Self-Join
Inner Join
Left Join
Right Join
Cross Join
Module 9:
Working on subqueries
Using a Subquery to Solve a Problem
Subquery Syntax
Using a Subquery
Guidelines for Using Subqueries
Types of Subqueries
Single-Row Subqueries
Executing Single-Row Subqueries
Using Group Functions in a Subquery
The HAVING Clause with Subqueries
Multiple-Row Subqueries
Using the ANY Operator in Multiple-Row Subqueries
Using the ALL Operator in Multiple-Row Subqueries
Null Values in a Subquery
Module 10:
Use of built-in function in SQL
Conversion Function
Logical Functions
Math Function
Aggregate Functions
String Functions
Date Functions
Power BI
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 Analysis Expressions (DAX)
What is DAX?
Data Types in DAX
Calculation Types
DAX Functions : Date and Time, Time IIntelligence,
Information, Logical, Mathematical, Statistical, Text,
Aggregate Measures in DAX
Table Relationships and DAX
Data visualization
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
Custom visualizations
What Are Custom Visuals?
Ofce Store
Downloading Custom Visuals
Importing Custom Visuals in Power BI Report
KPI Visuals
Data Binding in Power BI
Power BI Integration page And Administration
Data Gateways
Content packs
Power BI Report Server
Power BI Embedded
Power BI Embedded Conceptual Model
Workspace Collection
Adding Power BI content to a Workspace
Application Authentication Tokens
Parts of Power BI embedded - REST API
Power BI Embedding without an Embed Token
Power BI Embedding with an Embed Token
Power BI Q&A
Dashboard
Dashboard vs Reports
Creating a Dashboard
Dashboard Tiles
Pinning Tiles
Quick Insights with Power BI
Power BI Publisher for Excel
Introduction to Tableau
Overview of Tableau
Data visualization and analytics
Elements of the Tableau dashboard
Understanding the signicance of Tableau Desktop and Tableau Server
Extensively work with data visualization using line, bar, area,
stacked bar, and multi line 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
Normal Tables and Multi measure Tables
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
Hierarchy & Groups
Tableau Hierarchy creation
Static Group creation
Deploying functions for Group creation
Tableau Sorting
The various options of Sorting in Tableau
Sorting of Multi-dimensional graph
Deploying combined elds and setting sorting priorities
Dual Axis Graphs
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
Histogram
Learning about the different type of Single Axis Histogram
Dual Axis Histogram
Pareto Chart
Understanding how to design and work with Pareto Chart
Motion Chart
Deploying Motion Chart for data that changes over time using x and y axes
Box Plot
Representation of numerical data through quartiles using Box Plot
Funnel Chart
Working with Funnel Chart for data that progressively reduces with each stage.
Waterfall Chart
Deploying Waterfall Chart for understanding the cumulative effect of sequential values
Sets
Understanding the concept of Set which is an entity whose composition is based on a computed condition
String Calculated Fields
Learning how to perform various operations on Strings like concatenation Manipulation and analyzing with String Calculated Fields
Date Calculated Fields
Working with Date Calculated Fields for performing operations like parsing Modifying and analyzing
Tableau Parameters
Learning to use the dynamic values or parameters including
What if Analysis Column Selection Parameters,
Chart Selection Parameters
Tableau Actions
Tableau lets you add interactivity and context to your data using Filter Actions, URL Actions.
Dashboard Creation
Working with the Tableau Dashboard and understanding the various concepts like Formatting, Containers, Navigations and Actions.
Tableau Architecture
Understanding the basic Architecture of Tableau
Learning about Tableau Desktop features,Tableu Server,
working of Tableau and the various Tableau Products
Tableau Products
Tableau public Features
Tableau Desktop personal features
Tableau Desktop professional feature
Tableau Server Feature
Tableau File System
Tableau Working
Tableau Server Architecture
Connection Type
Tableau Connections –Live Connection and Data Extract Connection,
Comparing the two Live And Extract connection
Sharing Dashboard
Learning to work on Tableau by sharing the dashboard with ofine users
Data Blending
Methods to work with data from disparate sources,
dening the relationship between the data and combining it in the optimal way.
Dashboard Filter
Working with various Tableau Filter options, understanding the Filter Dimensions and ways to make the Filter Global.
Filter Deployment
Taking the various data sources and implementing to blend the graphs, using Global Fliter for blending graphs
Tableau LOD Expression
Tableau Level of Detail Expressions for combining aggregate and non-aggregate data, converting aggregate to non-aggregate data in Tableau 9.X
MapBox Integration
Integrating MapBox on Tableau for deploying Maps into Tableau Visualization
Table Calculation
Understanding Tableau Table Calculation, familiarizing with Graph and View, learning about Context lter
Aggregating Data
Understanding the concept of aggregating data in Tableau, dening Table Calculation, , Mark Labels, FORMAT function, working with String, Date and Logical Function, data disaggregating, forecasting.
Dening Table Calculation
Working with Drop Lines
Mark Labels
FORMAT function
Working with String
Date and Logical Function
Data disaggregating
Forecasting
LOD Expression Function
Deploying the Exclude function in LOD
Integration of Tableau and R
Introduction to R Statistical computing
The various applications and use cases of R
Deploying R on the Tableau platform
Learning the R functions in Tableau
The concept of Outliers in Tableau
K-means in Tableau
Learning how to deploy K-means clustering in order to group and parse data in Tableau.
Tableau StoryTelling
The art of telling stories with Tableau, the importance of story point and determining when to deploy Tableau Storytelling
Storytelling on Graph
Converting the data available on a Graph into a Visual Storytelling endeavour
Clustering and Advanced Bar charts in Tableau 10
Create clustering
Understanding how it works for scatter plots,
text tables and maps, creation of custom territories, mastering the art of advanced bar charts in Tableau 10
Multiple data source lters & advanced maps
Understanding the various Tableau 10 features like Highlighter, deploying multiple data sources for creation of lter and advanced mapping functionalities.
Beautify by design in Tableau 10
Introduction to the various new features of Tableau 10, working with Device Designer, New Device Interface, Color palette and more
Beautify by design in Tableau 10
Beautify by design in Tableau 10
Understanding new data breakthrough in Tableau 10, new features of data sources, integrating multiple data sources for deriving insights.
Data breakthrough in Tableau 10
Tableau Project
Excel
Excel Introduction
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 Vba
Looping In Vba
Variables In Vba
Mail Functions – Vba
Message Box And Input Box
Worksheet / Workbook Operations
If And Select Statements
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
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.
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
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.
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.
Batch Schedule
| DATE | COURSE | TRAINING TYPE | BATCH | CITY | REGISTER |
|---|---|---|---|---|---|
| 25/09/2023 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
| 26/09/2023 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
| 23/09/2023 | Data Analytics | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
| 23/09/2023 | Data Analytics | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
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
Course video & Images
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.
Our Placement Process
Eligibility Criteria
Placements Training
Interview Q & A
Resume Preparation
Aptitude Test
Mock Interviews
Scheduling Interviews
Job Placement
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