Best Data Analyst Course in Pune
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Join the Premier Data Analyst Course in Pune at Analytiq Learning
To improve your qualifications and chances of employment as a data analyst in Analytiq Learning, make sure you attend the Data Analyst Course in Pune.
As our program ranges very vast, it involves SQL, Excel, and Python for data manipulation; Tableau, Power BI, and Alteryx for data analysis. Get equipped with the necessary knowledge to solve practical business problems with the help of a broad range of data analysis tools.
Additionally, our data analyst course in Pune with placement ensures you have the support needed to kickstart your career.
Are you confused about where to start or how to become a professional data analyst?
Enroll in our data analyst courses in Pune right now! When it comes to training with datasets at Analytiq Learning, we do not limit ourselves to the books but bring you real-life exposure as well.
Our highly qualified tutors, also working professionals, will share their knowledge on how to tackle difficult datasets, making sure you grasp every idea as you are learning.
The most popular data analyst classes are available; you can join a data analyst course in Pune or a data analyst course in Pune offline to improve your capabilities and employment opportunities.
Book Our Free Demo Class
What is Data Analyst all about?
Data Analyst is a process of analysis in which a large volume of data is processed with the help of computational methods. It is normally applied to find some relationships, correlations, and trends in the data to obtain information that may be useful for decision-making. Here’s a deeper look into what data analyst entails: This is an essential skill you can acquire through our Data Analyst Course in Pune.
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Data Collection
Data acquisition is first on the list in the process of data analyst, where data is collected from different sources. It can also be classified as structured data: databases, spreadsheets, and unstructured data: text and images, etc. To gain a deeper understanding of this process, consider enrolling in a data analyst course in Pune.
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Data Cleaning
Raw data can therefore be ambiguous, get repeated, or contain lots of errors. Data cleaning however entails making sure that the data is cleaned of any of these problems by preprocessing the data.
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Data Exploration
This step involves simply looking at the data rather than analyzing it and trying to get acquainted with it by identifying the shape, size, and sample descriptive statistics. Descriptive analysis techniques and graphical presentation methods are employed to condense the data. To enhance your skills in this area, consider enrolling in a data analyst course in Pune with placement.
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Data Analysis
The core of data analytics, this stage uses various techniques to delve deeper into the data:
- Descriptive Analytics: Looks at past data to see what has occurred.
- Diagnostic Analytics: Investigates and analyzes data to explain why something did occur.
- Predictive Analytics: It employs time series data to make forecasts of future occurrences.
- Prescriptive Analytics: A special proceeding that contains recommended actions based on the results of the analysis of the data.
For those interested in learning these techniques, finding the best institute for data analyst courses in Pune or enrolling in a data analyst course in Pune for freshers can provide valuable training.
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Data Visualization
Data presentation, on the other hand, is the process of converting the outcomes or results of an analytically intensive process into outputs that are more easily understandable, especially through the use of graphical displays. For those looking to enhance their skills, choosing the best institute for Data Analyst Course in Pune or enrolling in an online data analyst course in Pune for freshers can be beneficial.
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Data Interpretation
Finally, the results of the analysis need to be interpreted. Secondary-level data analysis means making inferences and decision-making.
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Reporting
The last results obtained are summarized in reports to inform the decisions to the stakeholders regarding the data findings.
What are the categories of Data Analyst?
Data Analyst mostly come across four specializations, which are
Descriptive Analytics
It helps the organizations or the developers respond to the different questions on the happening or the different situations.
Diagnostic Analytics
It enables the developers and the organizations to find out why the situation has happened and why it occurred.
Predictive Analytics
It enables an organization to know the trend in this case, and be able to determine what will likely happen in the future.
Prescriptive Analytics
It assists the organizations get acquainted with measures that need to be undertaken with the situations and happening which may be future occurrences.
Data Analytics Classes in Pune 100% Job Assurance Program
Why choose Analytiq Learning for the Data Analytics Course In Pune?
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Comprehensive Curriculum
At Analytiq Learning, we have an informative Data Analytics course to enable our students to gain knowledge in critical areas like data handling, statistics, machine learning, data visualization and many more. The subjects studied at our school imply the formation of both the theoretical background and the development of practical skills.
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Expert Instructors
Expert Instructors: From accomplished scholars proficient in data analytics training and experienced in the field, the teachers provide practical examples and hands-on experience in learning. This means you will receive only high-quality knowledge and guidance from mentors. Enroll in our Data Analytics Course in Pune or consider our online data analyst course in Pune for freshers to enhance your skills. We also offer competitive data analyst course fees in Pune to ensure accessibility for all learners.
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Hands-on Learning
Our course has been designed with the understanding that learners are more likely to retain the knowledge gained through project-oriented and case-based scenarios along with mentor-led sessions. It is implemented using real data and tasks, so when you graduate, you are ready to work for a production company.
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State-of-the-Art Resources
Get to acquire modern devices and instruments that are used in the data analytics industry. For the purpose of data manipulation, storage and analysis, some of the most common software include Python, R while libraries include; Pandas, NumPy and Matplotlib among others.
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Industry-Relevant Certifications
Get a certification from Analytiq Learning, a valued certification from an employer’s perspective. Your earned credentials benefit from affiliations with premier organizations and institutions.
Features of Data Analytics Courses in Pune
Classroom Sessions
Analytiq Learning Pune offers extensive professional-oriented training to meet the industry’s needs, with a focus on practical and project orientation.
We also provide live conversation classes with personal communication, web-based doubt removal classes, and audio/video backup classes. Besides, students can access a special section to post doubts and questions. Our data analyst course in Pune with placement ensures you have the support you need to succeed, while our online data analyst course in Pune for freshers provides flexibility for those starting their careers.
LMS or learning management systems
To further your understanding of the course and the cross-functional requirements of the industry, we provide additional classes at no cost to you. You will also be able conduct a review of ongoing classes which allows you access to recordings of the classes, study section with the current course’s assignments, projects and POCs.
Quiz, Assignments & POC’s
Every course contains quizzes, practical assignments, and interview preparation according to the topic and the particular module. Trainers give out assignments at the pace of the students and according to the project they are handling, with the average time estimate being that it takes about an hour per day. This is done by ensuring that most of these assignments involve real-life company projects to allow the student to gain some practical experience. Furthermore, the course is available with free study material in the form of syllabuses that complement each course offered in the Data Analytics Course in Pune.
Certification
We are a recognized institution, and several large organizations accept our certification today. It is offered after an assessment of your records by our professionals in the industry, enhancing your curriculum vitae and making it a competitive asset. Degree certification: Add value to your resume and increase its impact by pursuing course completion certification once all the projects have been completed.
Real-life Case Studies
Analytiq Learning also provides a bunch of options with real-world applications but as projects to be completed in real-time. This way, students understand business requirements, analyze detailed aspects and approach problems that are seen when implementing solutions in real-time. When students work on these projects, they do not only learn the general ideas but also their practical application.
Job Assistance Program
Many of the courses with Analytiq Learning offer a program that assists candidates with job placements at the end of the course. Under this program, we assist learners get the perfect resume that makes them grab the needed calls on their social accounts. A student group of more than 5000 students helps to share the opportunities 3000+ freshers/professionals have been placed in the top companies in India and other Companies in India with excellent packages.
Data Analytics Classes in Pune 100% Job Assurance Program
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Batches We Offer for Data Analytics Course in Pune
Fast Track Batch
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Session: 6 Hrs per day + Practical -
Duration: 2 Months -
Certification: Yes -
Training Type: Classroom -
Study Material: Latest Book -
Days: Monday to Friday -
Practical & Labs: Regular -
Personal Grooming: Flexible Time
Regular Batch
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Session: 4 Hrs per day -
Duration: 5 Months -
Certification: Yes -
Training Type: Classroom -
Study Material: Latest Book -
Days: Monday to Friday -
Practical & Labs: Regular -
Personal Grooming: Flexible Time
Weekend Batch
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Session: Full Day + Practical -
Duration: 5 Months -
Certification: Yes -
Training Type: Classroom -
Study Material: Latest Book -
Days: Saturday & Sunday -
Practical & Labs: As Per Course -
Personal Grooming: Flexible Time
Upcoming Batch Schedule for Course in Pune
| Sr.No | Date | Duration | Batch | Training Type | Time |
|---|---|---|---|---|---|
| 1 | 08-10-2024 | 3 – 6 Months | Regular (Mon-Sat) | Online/Offline | 10-1Pm / 11:30-2:30Pm / 1-4Pm |
| 2 | 15-10-2024 | 3 – 6 Months | Regular (Mon-Sat) | Online/Offline | 10-1Pm / 11:30-2:30Pm / 1-4Pm |
| 3 | 22-10-2024 | 3 – 6 Months | Regular (Mon-Sat) | Online/Offline | 10-1Pm / 11:30-2:30Pm / 1-4Pm |
| 4 | 29-10-2024 | 3 – 6 Months | Regular (Mon-Sat) | Online/Offline | 10-1Pm / 11:30-2:30Pm / 1-4Pm |
| 5 | 30-10-2024 | 3 – 6 Months | Regular (Mon-Sat) | Online/Offline | 10-1Pm / 11:30-2:30Pm / 1-4Pm |
Who should learn the Data Analytics Course in Pune?
Data Analytics Training is open to all students. Different schools have different training programs, and their training programs are not an exception.
As per our class teaching experience, we can teach students from non-IT backgrounds, and they can also learn this technology.
In one class, you get learners who have a working experience ranging from 1 year to as much as 24 years of experience. CA, CS, BCom, Share Brokers—everyone is learning this skill to place it into working practice.
It is the best start for newcomers, and the ultimatum for others; also, it is the culmination for them at the Best institute for data analyst courses in Pune, with a data analyst course in Pune with Placement.
Trainer Profile of Data Analytics Course in Pune
Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.
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More than 10+ Years of Experience.
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Trained more than 2000+ students in a year.
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Strong Theoretical & Practical Knowledge.
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Certified Professionals with High Grade.
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Well connected with Hiring HRs in multinational companies.
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Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
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Trainers have Experienced on multiple real-time projects in their Industries.
Career Opportunities
Job Market for Data Analytics in Future
Countries like India, China, and Brazil are seeing rapid digitization, leading to an increased demand for data analysts. In India alone, NASSCOM reported that the country would need over 200,000 data analytics professionals by 2025.
Where a professional can get a Job
Data Analyst
Machine Learning Engineer
Business Analyst
Data Analytics Consultant
Financial Analyst
Data Visualization Specialist
Data Engineer
Quantitative Analyst
Data Analytics Classes in Pune 100% Job Assurance Program
Career Progression and Salary Trends
Course Completion Certificate
Syllabus Of Data Analytics Course in Pune
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
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 – 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
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?
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 vs Reports
Creating a Dashboard
Dashboard Tiles
Pinning Tiles
Quick Insights with Power BI
Power BI Publisher for Excel
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
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
Understanding the conditions and methodology for joining Tables
Knowledge of Multi Table Joins
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
Sorting of Multi-dimensional graph
Deploying combined fields and setting sorting priorities
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
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
Representation of numerical data through quartiles using Box Plot
Deploying the Exclude function in LOD
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
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
Converting the data available on a Graph into a Visual Storytelling endeavour
Working with Funnel Chart for data that progressively reduces with each stage.
Deploying Waterfall Chart for understanding the cumulative effect of sequential values
Understanding the concept of Set which is an entity whose composition is based on a computed condition
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
Learning to use the dynamic values or parameters including
What if Analysis Column Selection Parameters,
Chart Selection Parameters
Tableau lets you add interactivity and context to your data using Filter Actions, URL Actions.
Working with the Tableau Dashboard and understanding the various concepts like Formatting, Containers, Navigations and Actions.
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
Tableau Connections –Live Connection and Data Extract Connection,
Comparing the two Live And Extract connection
Learning to work on Tableau by sharing the dashboard with offline users
Methods to work with data from disparate sources,
denning the relationship between the data and combining it in the optimal way.
Working with various Tableau Filter options, understanding the Filter Dimensions and ways to make the Filter Global.
Taking the various data sources and implementing to blend the graphs, using Global Fliter for blending graphs
Tableau Level of Detail Expressions for combining aggregate and non-aggregate data, converting aggregate to non-aggregate data in Tableau 9.X
Integrating MapBox on Tableau for deploying Maps into Tableau Visualization
Understanding Tableau Table Calculation, familiarizing with Graph and View, learning about Context lter
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
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 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
Download Data Analytics Course Syllabus 2024
Frequently Asked Question on Data Analytics Course in Pune
Who can enroll in a Data Analytics course?
• While the course is beneficial for IT professionals, managers, and researchers, it’s designed to be accessible to anyone interested in leveraging the power of data, regardless of their background.
Do I need a background in IT or statistics to join the course?
While having a background can be beneficial, most introductory courses are designed to accommodate beginners without any prior experience
What tools and software will I learn during the course?
The course typically covers tools like Excel, SQL, PowerBI, Tableau, and programming languages like Python or R, depending on the curriculum
How long is the course duration?
Course duration can vary, ranging from a few weeks for basic courses to several months for comprehensive programs
How does Data Analytics differ from Data Science?
While both fields revolve around data, Data Analytics primarily focuses on inspecting and cleaning data to discover patterns, whereas Data Science encompasses a broader range, including machine learning, predictive modeling, and advanced statistical techniques
What's the average fee for a Data Analytics course?
Course fees can vary based on factors like course duration, institution reputation, and course depth. It’s best to check with specific institutions for precise fee structures.
Is the Course Comes With Global Certification?
Sure! Most of our Course Comes with Global Certification for which you have to give Exam at the End of the Course.
Will your institute conduct the Exam for Global Certification?
Yes we do have different Exam Conducting Department where you can apply for certain course’s Exam
