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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- 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 |
---|---|---|---|---|---|
18/03/2024 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
19/03/2024 | Data Analytics | Classroom / Online | Regular Batch (Mon-Sat) | Pune | Book Now |
16/03/2024 | Data Analytics | Classroom / Online | Weekend Batch (Sat-Sun) | Pune | Book Now |
16/03/2024 | 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
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.In a world driven by data, the ability to derive insights, make data-driven decisions, and convey your findings is a highly sought-after skill. Our Comprehensive Data Analytics and Visualization Job Guarantee Course is your passport to mastering the essential skills and tools needed to explore, interpret, and present data effectively. This program is your key to unlocking a world of opportunities in the exciting field of data analytics and visualization.
Course Highlights:
Foundations of Data Analysis:
Acquire proficiency in Python, a versatile language renowned for data analytics.
Master SQL for efficient data retrieval and manipulation.
Harness the full potential of Advanced Excel for comprehensive data manipulation and analysis.
Data Visualization and Reporting:
Craft engaging and informative data visualizations using Power BI.
Create interactive and insightful dashboards with the industry-standard tool, Tableau.
Statistical Analysis:
Develop a deep understanding of probability and statistics to make informed decisions.
Dive into data analysis with confidence using Python libraries like NumPy, Pandas, Matplotlib, and Seaborn.
We cover tests like Hypothesis Testing, Z test, T test.
Course Benefits:
Gain practical experience through real-world data analysis projects.
Establish a rock-solid foundation in Python, SQL, and advanced Excel.
Master data visualization techniques with Power BI and Tableau.
Interpret data with confidence, using the power of statistical analysis.
Acquire proficiency in essential Python libraries for data manipulation and visualization.
Unlock a vast array of career opportunities in data analytics and reporting.
Who Should Attend:
Aspiring data analysts.
Professionals looking to elevate their data interpretation skills.
Decision-makers aiming to enhance their decision-making processes.
Anyone with an interest in pursuing a career in data analytics and visualization.
Embrace the world of data analytics and visualization by joining us on this transformative journey. Enroll now and equip yourself with the skills and knowledge to excel in the dynamic and data-rich landscapes of today's organizations. Your data-driven future begins here!
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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