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Learn the methods to extract data for analytical purposes. Join our course now and study under an experienced data analyst.
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100 Hrs.
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- In today's world, businesses generate vast amounts of data, necessitating skilled Data Analysts to manage and utilize this data effectively. Data Analysts play a crucial role in making important business decisions that drive profitability and market recognition. They extract and analyse data to ensure informed decision-making, while also taking calculated risks to determine the most beneficial outcomes for the business. This makes them vital for business expansion.
- If you aspire to become a knowledgeable Data Analyst, enrolling in a Data Analyst Course in Pune is a smart career move. This will help you understand the data analysis process comprehensively.
- To gain in-depth knowledge, it is essential to join a reputable educational provider offering Data Analyst Online Training in Pune. Today, numerous institutions provide high-quality training in this field. One such renowned institution is Croma Campus, where you will receive extensive training in your chosen subject, strengthening your core knowledge.
- Why Choose a Data Analysis Course in Pune
- By joining Croma Campus, you'll receive detailed instruction and practical experience, preparing you for a successful career as a data analyst. Make the best choice for your future by opting for the best Data Analyst Course in Pune today.
Data Analysis Course in Pune: Get comprehensive training in data analysis techniques and tools.
Data Analyst Course in Pune: Develop the skills needed to excel as a data analyst and make data-driven business decisions.
Business Analytics Course in Pune: Learn how to leverage data for business insights and strategic planning.
Data Analytics Classes in Pune: Join classes designed to provide hands-on experience and practical knowledge.
Best Data Analyst Course in Pune: Enroll in top-rated courses that offer in-depth knowledge and industry-recognized certification.
Data Analytics Course in Pune
- By enrolling in our Data Analyst Online Training, you'll gain valuable insights through various examples, study materials, and more. Heres what youll cover in this comprehensive course:
- Introduction to Data Analyst Classes in Pune:
- Core Topics Covered in Data Analytics Training in Pune:
- Latest Trends and Techniques:
- By joining our Data Analyst Course in Pune, you'll receive top-notch training and practical experience, preparing you for a successful career in data analytics. Enroll today and start your journey with the best Data Analytics Training in Pune!
Understand the fundamentals and basics of data analysis.
Learn how to examine data, utilize statistics, explain different behaviours and events, analyse and create data for analysis, and effectively accumulate data.
Data Planning: Learn how to plan and structure data for analysis.
Data Exploration: Understand methods for exploring and visualizing data.
Data Collection: Master techniques for collecting accurate and relevant data.
Data Analysis: Dive into analysing data to extract meaningful insights.
Stay updated with the latest trends in data analysis.
Gain knowledge about handling large datasets and the complete data analysis process.
- Skilled and experienced Data Analysts are highly compensated. If you're concerned about salary prospects, there's no need to worry. Enroll in a Data analysis course in Pune to kickstart your career in this lucrative field.
- Here are some salary figures to consider:
- As you gain more experience and skills, your salary package will significantly increase. Additionally, becoming a freelancer can also lead to higher earnings.
A fresher Data Analyst earns an average of 3,56,363 per year.
An experienced and knowledgeable Data Analyst can earn up to 11.6 lakhs annually.
- Data Analyst is one of the most in-demand jobs due to the increasing importance of data handling across various industries. The future of data analysis looks bright, which is why many candidates are now interested in the Data Analyst Online course in India.
- Obtaining a legitimate accreditation from the Data analytics classes in Pune can turn you into a certified, skilled Data Analyst, opening doors to opportunities in well-established companies. Enrolling in this training will familiarize you with related job roles, positions, and salary structures, and can help you earn a higher salary than other employees.
- 1. Entry-Level Positions:
- 2. Mid-Level Positions:
- 3. Senior-Level Positions:
- 4. Specialized Roles:
- 5. Leadership Positions:
- 6. Continuous Learning and Skill Enhancement:
- Completing a Data Analyst Course in Pune sets you on a path to a dynamic and rewarding career, with ample opportunities for growth and advancement.
Junior Data Analyst: Handle data collection, basic analysis, and report generation.
Business Intelligence Analyst: Support business decisions through data analysis using BI tools.
Data Analyst: Work on complex data analysis tasks, develop predictive models, and provide actionable insights.
Data Scientist: Apply advanced statistical methods and machine learning techniques to analyze data.
Data Engineer: Build and maintain data pipelines, ensuring data quality and accessibility.
Senior Data Analyst: Lead data analysis projects, mentor junior analysts, and contribute to strategic decision-making.
Analytics Manager: Manage a team of analysts, oversee data projects, and align them with business goals.
Data Architect: Design and manage data architecture to ensure efficient data flow and integration.
Machine Learning Engineer: Develop and deploy machine learning models for automated decision-making.
Big Data Analyst: Analyse large datasets using big data technologies like Hadoop and Spark.
Chief Data Officer (CDO): Oversee data strategy and governance at an organizational level.
Director of Analytics: Lead the analytics division, driving data initiatives and strategy.
Certifications: Obtain advanced certifications to enhance your expertise and credibility.
Networking: Engage with professional communities to stay updated and connected.
Ongoing Education: Continuously update your knowledge with the latest trends and technologies in data analysis.
- There are several compelling reasons to start with a Data Analyst online course. The primary reasons include its high demand and promising future. Here are the top reasons to enroll with a reputable provider of Data Analyst Online Training in India:
High Demand: Data analysis is in demand across almost all types of organizations.
Job Opportunities: There are higher job possibilities for skilled data analysts.
Competitive Salaries: Knowledgeable and experienced data analysts enjoy increasing salaries.
Diverse Industries: There are work opportunities in a wide range of industries.
Impactful Decisions: Your skills will be essential for making effective business decisions.
Freelancing Opportunities: Numerous freelancing opportunities are available.
- A Data Analyst is responsible for executing various data handling tasks daily. At Croma Campus, we provide essential skills and information related to the subject. To understand job roles in detail, start with the Data Analyst online course and explore each role comprehensively.
- As a Data Analyst, you will gather data, conduct surveys, and track visitor characteristics. You'll also clean data, ensuring high quality in spreadsheets to avoid discrepancies. Additionally, you'll design and structure databases, decide what types of data to store and collect, and determine how data categories interrelate and appear.
- Analysing data involves identifying patterns or trends to answer specific questions. Maintaining good relationships with stakeholders and clients is crucial to understand their needs. While your job role may vary with different projects, the core duties remain consistent.
- Enroll in the Data Analyst course in Pune India to prepare yourself for a successful career in this field and achieve rapid growth.
- Many top companies are currently hiring skilled Data Analysts. To secure a position in a well-established company or multinational, gaining detailed knowledge from a provider of Data Analyst Online Training is beneficial for your career.
- Some well-known companies hiring Data Analysts include
- Connecting with a reputable provider of Data Analyst Online Training in Pune India can help you get into these large companies. Our qualified trainers also organize mock tests to help you clear interviews. The main goal of the Data Analyst online course is to assist you in getting placed in a well-established organization.
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- For the past few years, Croma Campus has been known as the leading provider of best Data Analyst course in Pune. We offer high-quality training with numerous examples, study materials, and guidance from experienced faculty.
- If you want detailed information about Data Analysis, enrolling in our Data Analyst Online Training is a smart career move. At Croma Campus, you'll get certified and have plenty of opportunities to improve and learn new skills.
- We also provide placement assistance and helpful tips from our trainers to help you clear interviews and succeed in your Data Analyst career in India.
- You May Also Read:
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CURRICULUM & PROJECTS
Data Analytics Training Program
- Introduction
- What is Data Analytic
- Common Terms in Data Analytics
- What is data
- Classication of data
- Relevance in industry and need of the hour
- Types of problems and business objectives in various industries
- How leading companies are harnessing the power of analytics
- Critical success drivers.
- Overview of Data Analytics tools & their popularity.
- Data Analytics Methodology & problem-solving framework.
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- Understanding Concepts of Excel
- Creation of Excel Sheet Data
- Range Name, Format Painter
- Conditional Formatting, Wrap Text, Merge & Centre
- Sort, Filter, Advance Filter
- Different type of Chart Creations
- Auditing, (Trace Precedents, Trace Dependents)Print Area
- Data Validations, Consolidate, Subtotal
- What if Analysis (Data Table, Goal Seek, Scenario)
- Solver, Freeze Panes
- Various Simple Functions in Excel(Sum, Average, Max, Min)
- Real Life Assignment work
- Ms Excel Advance
- Advance Data Sorting
- Multi-level sorting
- Restoring data to original order after performing sorting
- Sort by icons
- Sort by colours
- Lookup Functions
- Subtotal, Multi-Level Subtotal
- Grouping Features
- Consolidation With Several Worksheets
- Filter
- Printing of Raw & Column Heading on Each Page
- Workbook Protection and Worksheet Protection
- Specified Range Protection in Worksheet
- Excel Data Analysis
- Data Table
- Pivot Table
- Generating MIS Report In Excel
- Text Functions
- Lookup & Reference Function
- Logical Functions & Date and Time Functions
- Database Functions
- Statistical Functions
- Financial Functions
- Functions for Calculation Depreciation
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- SQL Server Fundamentals
- SQL Server 2019 Installation
- Service Accounts & Use, Authentication Modes & Usage, Instance Congurations
- SQL Server Features & Purpose
- Using Management Studio (SSMS)
- Conguration Tools & SQLCMD
- Conventions & Collation
- SQL Server 2019 Database Design
- SQL Database Architecture
- Database Creation using GUI
- Database Creation using T-SQL scripts
- DB Design using Files and File Groups
- File locations and Size parameters
- Database Structure modications
- SQL Tables in MS SQL Server
- SQL Server Database Tables
- Table creation using T-SQL Scripts
- Naming Conventions for Columns
- Single Row and Multi-Row Inserts
- Table Aliases
- Column Aliases & Usage
- Table creation using Schemas
- Basic INSERT
- UPDATE
- DELETE
- SELECT queries and Schemas
- Use of WHERE, IN and BETWEEN
- Variants of SELECT statement
- ORDER BY
- GROUPING
- HAVING
- ROWCOUNT and CUBE Functions
- Data Validation and Constraints
- Table creation using Constraints
- NULL and IDENTITY properties
- UNIQUE KEY Constraint and NOT NULL
- PRIMARY KEY Constraint & Usage
- CHECK and DEFAULT Constraints
- Naming Composite Primary Keys
- Disabling Constraints & Other Options
- Views and Row Data Security
- Benets of Views in SQL Database
- Views on Tables and Views
- SCHEMA BINDING and ENCRYPTION
- Issues with Views and ALTER TABLE
- Common System Views and Metadata
- Common Dynamic Management views
- Working with JOINS inside views
- Indexes and Query tuning
- Need for Indexes & Usage
- Indexing Table & View Columns
- Index SCAN and SEEK
- INCLUDED Indexes & Usage
- Materializing Views (storage level)
- Composite Indexed Columns & Keys
- Indexes and Table Constraints
- Primary Keys & Non-Clustered Indexes
- Stored Procedures and Benets
- Why to use Stored Procedures
- Types of Stored Procedures
- Use of Variables and parameters
- SCHEMABINDING and ENCRYPTION
- INPUT and OUTPUT parameters
- System level Stored Procedures
- Dynamic SQL and parameterization
- System functions and Usage
- Scalar Valued Functions
- Types of Table Valued Functions
- SCHEMABINDING and ENCRYPTION
- System Functions and usage
- Date Functions
- Time Functions
- String and Operational Functions
- ROW_COUNT
- GROUPING Functions
- Triggers, cursors, memory limitations
- Why to use Triggers
- DML Triggers and Performance impact
- INSERTED and DELETED memory tables
- Data Audit operations & Sampling
- Database Triggers and Server Triggers
- Bulk Operations with Triggers
- Cursors and Memory Limitations
- Cursor declaration and Life cycle
- STATIC
- DYNAMIC
- SCROLL Cursors
- FORWARD_ONLY and LOCAL Cursors
- KEYSET Cursors with Complex SPs
- Transactions Management
- ACID Properties and Scope
- EXPLICIT Transaction types
- IMPLICIT Transactions and options
- AUTOCOMMIT Transaction and usage
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- Introduction to Power BI
- Overview of BI concepts
- Why we need BI
- Introduction to SSBI
- SSBI Tools
- Why Power BI
- What is Power BI
- Building Blocks of Power BI
- Getting started with Power BI Desktop
- Get Power BI Tools
- Introduction to Tools and Terminology
- Dashboard in Minutes
- Interacting with your Dashboards
- Sharing Dashboards and Reports
- Power BI Desktop
- Power BI Desktop
- Extracting data from various sources
- Workspaces in Power BI
- Power BI Data Transformation
- Data Transformation
- Query Editor
- Connecting Power BI Desktop to our Data Sources
- Editing Rows
- Understanding Append Queries
- Editing Columns
- Replacing Values
- Formatting Data
- Pivoting and Unpivoting Columns
- Splitting Columns
- Creating a New Group for our Queries
- Introducing the Star Schema
- Duplicating and Referencing Queries
- Creating the Dimension Tables
- Entering Data Manually
- Merging Queries
- Finishing the Dimension Table
- Introducing the another DimensionTable
- Creating an Index Column
- Duplicating Columns and Extracting Information
- Creating Conditional Columns
- Creating the FACT Table
- Performing Basic Mathematical Operations
- Improving Performance and Loading Data into the Data Model
- Modelling with Power BI
- Introduction to Modelling
- Modelling Data
- Manage Data Relationship
- Optimize Data Models
- Cardinality and Cross Filtering
- Default Summarization & Sort by
- Creating Calculated Columns
- Creating Measures & Quick Measures
- Data Analysis Expressions (DAX)
- What is DAX
- Data Types in DAX
- Calculation Types
- Syntax, Functions, Context Options
- DAX Functions
- Measures in DAX
- Measures and Calculated Columns
- ROW Context and Filter Context in DAX
- Operators in DAX - Real-time Usage
- Quick Measures in DAX - Auto validations
- In-Memory Processing DAX Performance
- Power BI Desktop Visualisations
- How to use Visual in Power BI
- What Are Custom Visuals
- Creating Visualisations and Colour Formatting
- Setting Sort Order
- Scatter & Bubble Charts & Play Axis
- Tooltips and Slicers, Timeline Slicers & Sync Slicers
- Cross Filtering and Highlighting
- Visual, Page and Report Level Filters
- Drill Down/Up
- Hierarchies and Reference/Constant Lines
- Tables, Matrices & Conditional Formatting
- KPI's, Cards & Gauges
- Map Visualizations
- Custom Visuals
- Managing and Arranging
- Drill through and Custom Report Themes
- Grouping and Binning and Selection Pane, Bookmarks & Buttons
- Data Binding and Power BI Report Server
- Introduction to Power BI Dashboard and Data Insights
- Why Dashboard and Dashboard vs Reports
- Creating Dashboards
- Conguring a Dashboard Dashboard Tiles, Pinning Tiles
- Power BI Q&A
- Quick Insights in Power BI
- Direct Connectivity
- Custom Data Gateways
- Exploring live connections to data with Power BI
- Connecting directly to SQL Server
- Connectivity with CSV & Text Files
- Excel with Power BI Connect Excel to Power BI, Power BI Publisher for Excel
- Content packs
- Update content packs
- Publishing and Sharing
- Introduction and Sharing Options Overview
- Publish from Power BI Desktop and Publish to Web
- Share Dashboard with Power BI Service
- Workspaces (Power BI Pro) and Content Packs (Power BI Pro)
- Print or Save as PDF and Row Level Security (Power BI Pro)
- Export Data from a Visualization
- Export to PowerPoint and Sharing Options Summary
- Refreshing Datasets
- Understanding Data Refresh
- Personal Gateway (Power BI Pro and 64-bit Windows)
- Replacing a Dataset and Troubleshooting Refreshing
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- Introduction To Python
- Installation and Working with Python
- Understanding Python variables
- Python basic Operators
- Understanding the Python blocks.
- Python Keyword and Identiers
- Python Comments, Multiline Comments.
- Python Indentation
- Understating the concepts of Operators
- Introduction To Variables
- Variables, expression condition and function
- Global and Local Variables in Python
- Packing and Unpacking Arguments
- Type Casting in Python
- Byte objects vs. string in Python
- Variable Scope
- Python Data Type
- Declaring and using Numeric data types
- Using string data type and string operations
- Understanding Non-numeric data types
- Understanding the concept of Casting and Boolean.
- Strings
- List
- Tuples
- Dictionary
- Sets
- Control Structure & Flow
- Statements if, else, elif
- How to use nested IF and Else in Python
- Loops
- Loops and Control Statements.
- Jumping Statements Break, Continue, pass
- Looping techniques in Python
- How to use Range function in Loop
- Programs for printing Patterns in Python
- How to use if and else with Loop
- Use of Switch Function in Loop
- Elegant way of Python Iteration
- Generator in Python
- How to use nested Loop in Python
- Use If and Else in for and While Loop
- Examples of Looping with Break and Continue Statement
- How to use IN or NOT IN keyword in Python Loop.
- Python Function, Modules and Packages
- Python Syntax
- Function Call
- Return Statement
- Arguments in a function Required, Default, Positional, Variable-length
- Write an Empty Function in Python pass statement.
- Lamda/ Anonymous Function
- *args and **kwargs
- Help function in Python
- Scope and Life Time of Variable in Python Function
- Nested Loop in Python Function
- Recursive Function and Its Advantage and Disadvantage
- Organizing python codes using functions
- Organizing python projects into modules
- Importing own module as well as external modules
- Understanding Packages
- Random functions in python
- Programming using functions, modules & external packages
- Map, Filter and Reduce function with Lambda Function
- More example of Python Function
- List
- What is List.
- List Creation
- List Length
- List Append
- List Insert
- List Remove
- List Append & Extend using + and Keyword
- List Delete
- List related Keyword in Python
- List Revers
- List Sorting
- List having Multiple Reference
- String Split to create a List
- List Indexing
- List Slicing
- List count and Looping
- List Comprehension and Nested Comprehension
- Tuple
- What is Tuple
- Tuple Creation
- Accessing Elements in Tuple
- Changing a Tuple
- Tuple Deletion
- Tuple Count
- Tuple Index
- Tuple Membership
- TupleBuilt in Function (Length, Sort)
- Dictionary
- Dict Creation
- Dict Access (Accessing Dict Values)
- Dict Get Method
- Dict Add or Modify Elements
- Dict Copy
- Dict From Keys.
- Dict Items
- Dict Keys (Updating, Removing and Iterating)
- Dict Values
- Dict Comprehension
- Default Dictionaries
- Ordered Dictionaries
- Looping Dictionaries
- Dict useful methods (Pop, Pop Item, Str , Update etc.)
- Sets
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Frozen Sets
- Strings
- What is Set
- Set Creation
- Add element to a Set
- Remove elements from a Set
- PythonSet Operations
- Python Exception Handling
- Python Errors and Built-in-Exceptions
- Exception handing Try, Except and Finally
- Catching Exceptions in Python
- Catching Specic Exception in Python
- Raising Exception
- Try and Finally
- Python File Handling
- Opening a File
- Python File Modes
- Closing File
- Writing to a File
- Reading from a File
- Renaming and Deleting Files in Python
- Python Directory and File Management
- List Directories and Files
- Making New Directory
- Changing Directory
- Python Database Interaction
- SQL Database connection using
- Creating and searching tables
- Reading and Storing cong information on database
- Programming using database connections
- Reading an excel
- Working With Excel
- Reading an excel le using Python
- Writing to an excel sheet using Python
- Python| Reading an excel le
- Python | Writing an excel le
- Adjusting Rows and Column using Python
- ArithmeticOperation in Excel le.
- Play with Workbook, Sheets and Cells in Excel using Python
- Creating and Removing Sheets
- Formatting the Excel File Data
- More example of Python Function
- Complete Understanding of OS Module of Python
- Check Dirs. (exist or not)
- How to split path and extension
- How to get user prole detail
- Get the path of Desktop, Documents, Downloads etc.
- Handle the File System Organization using OS
- How to get any les and folders details using OS
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- Data Analysis and Visualization using Pandas.
- Statistics
- Pandas
- Data Analysis and Visualization using NumPy and MatPlotLib
- NumPy
- MatPlotLib
- Introduction to Data Visualization with Seaborn
- Introduction to Seaborn
- Visualizing Two Quantitative Variables
- Visualizing a Categorical and a Quantitative Variable
- Customizing Seaborn Plots
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- Capstone Project
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WHAT OUR ALUMNI SAYS ABOUT US
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R programming
I was enrolled for the R programming under the guidance of Mr. Anantha Rao sir. He has a very unique way of teaching and daily presentations by the students were the main highlight of the class. Whatever he taught is actually really helping me during my internship period. I really liked his way of t Read more...
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Data Analytics
Best training institute for learning Tableau. Anurag Mishra sir is the best trainer for learning Tableau. Read more...
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Data Analytics
Hi. I have done this course Croma campus. The trainer give the sessions very nicely nd in-depth knowledge. My experience is good throughout the learning program. Management is good. The course helped me in increasing my knowledge and capable in entering the desiring field. Read more...
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Data Analytics
If you are looking to get a reputed job after SAS certification then you should go for the top which is Croma Campus. I have recently completed my SAS certification and got a placement in a reputed MNC. Moreover, the training offered out by the specialists are of world-class and prepares out the stu Read more...
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Data Analytics
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Data Analytics
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Data Analytics
Croma Campus is a very nice training center. I have taken SPSS training in Croma Campus. They are very experienced and the way of teaching is very good. I got the job based on training; it was my great experience at Croma Campus. All the tutors were very knowledgeable and supportive, the staff was v Read more...
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Hi, my name is Neelam. I currently work as a Microsoft Excel at HCL. My interview in this company was scheduled by Croma Campus as I have done 2 months of Microsoft Advance Excel Certification Training course from it. I managed to crack this interview and the whole credit of my success goes to my Mi Read more...
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FAQ's
You will learn data analytics tools, techniques, and real-world applications.
It equips you with skills to pursue roles like data analyst, data scientist, and business analyst.
The course covers data analysis, statistical methods, and business intelligence tools.
Yes, the classes include hands-on projects and real-life case studies.
Croma Campus offers the best Data Analyst Course in Pune with comprehensive training and certification.
Expect detailed instruction on data collection, analysis, and visualization techniques.
Yes, the training is designed for both beginners and experienced professionals.
You can pursue roles such as data analyst, data engineer, and business intelligence analyst.
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