Data Analyst
Best Tally Training Institute in Delhi
Market View
Data Analysis becomes one of the most high-in-demand jobs around the world. As a result, a Data
Analyst salary in India is significantly higher than other software related professionals.
Course Overview
Data Analytics refers to a quantitative and qualitative method and process which is used to
increase the productivity and business profitability. It is a technique of extracting,
acknowledging and analyzing information such as behavioral data, business patterns, and
techniques which are dynamic and necessary for business. Every business organization needs to
perform Data Analytics which can provide various benefits such as increased customer r
satisfaction, enhancing the productivity and performance of the organization and can also
provide the companies with the biggest growth opportunities.Data analysis is also considered an
internal function of any business organization which deals with numbers and figures.
Intercourse deep knowledge of recording and analyzing along with dissecting information and
presenting the findings to make better decisions making for the management. However, in order to
become a Data Analytics professional, one should also have knowledge in various Data Analytics
tools such as Python, R-Programming, MS Excel and Access, Visual Basic for Application and
Macros(VBA/Macros), SQL, Tableau and Business Intelligence tools. The best way to gain relevant
skills and masteries Business Intelligence and Data Analytics tools is by attending quality Data
Analytics Training in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur,
Pitampura, Jaipur, Agra, Kanpur, Bhopal, provided by GDF Skills (a unit of Gayatri Devi Solution
LLP).
The Data Analytics Training Program is designed by industry experts that provides extensive and
comprehensive expertise in different Data Analytics techniques and tools, allowing the
participant to become an expert quickly. The Data Analytics with Python Overview, Tableau
R-Programming Training Program will help the learners acquire expertise in predicting customer
Trends and behavior, analysis, interpreting and delivering information in meaningful ways,
driving effective decision making along with enhancing the business productivity. Anyone with a
graduation degree is eligible to attend High-quality Data Analyst Training Course in Delhi which
is specifically targeted towards both fresher’s and working professionals who want to enter into
the field of Data Analytics or become fluent in Data Analysis techniques. The Data Analyst
Certification Training is conducted by highly certified subject matter experts with the word 10
to 15 years of experience in the relevant field.
About Best Data Analyst Training in Delhi
The Data Analyst Training Course in Delhi is a dedicated and intelligently designed Data
Analytics Training Course that is targeted towards an individual who is good with the numbers
and figures and wants to lead a successful career in the Data Analytics field. The entire Data
Analyst Training is divided into Six different modules which can be completed within 200 hours.
The major highlight of the Data Analytics Training Course is the Data A Analytics course content
which is highly updated as per the industrial standards.Upon completion of the Data Analytics
Training in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur, Pitampura,
Jaipur, Agra, Kanpur, Bhopal, the participants will be able to interpret Data and Analyze
results using Statistical Techniques and provide reports, develop It covers a wide range of
advanced topics in Data Analytics which include Excel and VBA macros Analytics, SQL and MS
Access, Python Data Visualization, Tableau and MS Power Business Intelligence(BI), R-Programming
& Python.
Practical Training in Data Analytics will be provided to the learner to gain experience in
Business Data Analysis and acquiring technical expertise in data models, segmentation
techniques, data mining techniques, database design development, etc. It will also help them to
develop strong analytical skills allowing them to easily collect, organize and analyze a large
amount of information with accuracy and efficiency and implement databases, Data Analytics and
data collection system along with other strategies to increase the efficiency and quality,
gathering information from primary and secondary data sources, identifying and analyzing latest
trends and patterns, filtering the information by reviewing the computer reports and performance
indicators to identify any issues and much more.
The participants will also be provided with in depth understanding of Data Analysis using live
projects and assignments on Real world cases so that they would not require additional Data
Analytics Training after getting placement. Proper workshops and handouts will be conducted by
the teachers to offer them industry relevant knowledge and resolve any of their issues. There
are various other job profiles which an individual can pursue after completing the Data
Analytics Training in Delhi, Uttam Nagar, East Azad Nagar, Durgapuri, Kalkaji, Badarpur,
Pitampura, Jaipur, Agra, Kanpur, Bhopal, which include Data Analyst, Senior Analyst, Data
Manager, Data Scientist, Business Intelligence professional, etc. Upon completion of the Data
Analyst training, valid certification in Data Analytics will be awarded to all the learners to
help them gain the competitive edge over other candidates during the interview. 100% Job
Placement Assistance will also be provided to the candidates who successfully cleared the Data
Analytics Training Course by providing them resume building services along with mock interviews
to make them ready for entering into the same market.
Why any one choose Data Analyst course or career option
Over the last few years, Data Analytics has become one of the most important
business functions worldwide due to technical Advancement which has resulted in increased
generation of information on a regular basis. Every business organization regardless of their
scale and size requires data in order to identify the behavior and trends in the Business
Industry which can be used to make better decision making and satisfy the needs of the
customers. . This has also increased the requirement for professional and knowledgeable Data
Analysts in the market. There are various other reasons why one should learn Data Analytics and
enter into the field. Some of these reasons are mentioned below
With the continuous generation of information which is expected to increase 50 times by 2020,
there is an immense shortage of talent of skilled candidates. Professionals who are able to
analyze the information will have increased requirement in the future.
According to Gartner, there will be three hundred percent increase in the jobs related to Data
Analytics by the year 2018. This is another reason to Learn Data Analytics as it will offer the
individual better job security.
Data Analytics is one field which is not restricted by one industry. Therefore, after acquiring
skills and expertise in Data Analysis, you can land a job at various Business Industries such as
E-commerce, Real-Estate, telecommunication, healthcare, retail and much more.
One of the best reasons to learn Data Analytics is the kind of payscale received by the
professional. Starting salary for Data Analytics for freshers can be 3 lakh per annum as of 2018
which can go up to 10 lakh per annum as per the experience.
There is also great growth opportunities in the Data Analytics field as you will be working with
various other professionals. You will get to learn new things which will be beneficial for your
career in the future
Data Analyst Training Programmed Modules
Data Analytics Training Course
Module 1 - BASIC & ADVANCED EXCEL WITH DASHBOARD & EXCEL ANALYTICS
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- Introduction to Excel
- Basic Understanding Menu and Toolbar, Introduction to different category
of functions like Basics, Mathematical and Statistical, Date and Time,
Logical, Lookup and References, Text and Information.
- Mathematical Functions
- Sum, Sumif, Sumifs, Count, Counta, Countblank, Countif, Countifs,
Average, Averagea, Averageif, Averageifs, Subtotal
- Aggregate, Rand, Randbetween, Roundup, Rounddown, Round, Sumproduct
- Date and Time Function
- o Date, Day, Month, Year, Edate, Eomonth, Networkdays, Workday, Weeknum,
Weekday, Hour, Minute, Second, Now, Today, Time
- Text Functions & Data Validation
- Char, Clean, Code, Concatenate, Find, Search, Substitute, Replace, Len,
Right, Left, Mid, Lower, Upper, Proper, Text, Trim, Value, Large, Small
Filters (Basic, Advanced, Conditional), Sort (Ascending, Descending,
Cell/ Font Color), Conditional Formatting, Data Validation, Group &
Ungroup, Data split.
- Statistical Function & Other Functions
- Isna, Isblank, Iserr, Iseven, Isodd, Islogical, Isytext, Max, Min, Len,
Right, Left, Mid, ,Maxa, Maxifs, Median, Minifs, Mina, Vara, Correl,
Geomen
- Logical Functions
- And, Or, If, Iferror, Not, Nested If
- Lookup & Reference Functions
- VLookup, HLookup, Index, Match, Offset, Indirect, Address, Column,
Columns, Row, Rows, Choose, Arrays Concept In Lookup Formula's, Past
Special, Past link
- Pivot Table - MIS, Data Analysis & Visualization
- Pivot Table- What-if Analysis, Data Table -One Variable and Two
Variables, Data Analysis Using Statistics, Descriptive Statistics,
ANOVA, Moving Average, Testing Hypothesis, Measuring Covariance and
Correlation, Distribution, Regression, Graphs & Charts, Analysis Tool
Pack, Solver, Histogram, Pareto, Water Fall, Import and Export data,
Protect/Unprotect sheets/workbooks, Worksheet formatting and Print
Display
- Data Collection Method
- With Data Quality, Collaboration & Security Like Share Your Workbook On
Share Drive With Quality
- Analysis Single/Multidimensional Analysis
- Like Three Dimensional (3D) Tables, Sensitive Analysis Like Data Table,
Manual What-If Analysis, Threshold Values, Goal Seek, One-Variable Data
Table, Two-Variable Data Table
- Advanced Dashboard in Excel
- Overview of Chart types, Chart Formatting, Active X Form Controls,
Principle of great dashboard design, Selecting Correct Chart to display
data, Interactive Charts with Form Controls, Combo box, Check Box,
Scroll Bar and Radio Button, Interactive Dashboard with Form Controls,
Form Controls for reports automation, Data Models using Power Pivot
- Two Live Report Development in Advanced Excel
Module 2 - VBA / MACROS - AUTOMATION REPORTING , USER FORM & DASHBOARD
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- To Define KPIs (Key performance Indicator), Customer Service
Dashboards or Project Management Dashboard (Gantt Chart)
- Dashboard Reports Based on Tables and Number or Charts/Graphs
or Both.
- Introduction to Programming Introduction to logical thinking
flowcharts & algorithms
- Define Objective, Start & End Points; Identifying Solution &
Breaking it Into Sequential Steps Writing a Algorithm
- Step-by-Step Instructions, Flowcharts, Process Flow Diagrams.
Excel Macros - an Introduction
- Complete Review of the VBA Language (Subs, Functions,
Variables, Arrays, Loops, Logic. etc.)
- Excel Macro Language Review (VBA) Including Variables, Data Types,
Constants, Arrays, Operators, Expressions, Loops, Logic Decisions And
Calling
- Overview Of Commanding Excel Using VBA Including A Discussion Of
Objects, Properties And Methods
- The Power of Macros - What, When, How to use Macros.
- Introduction to Object Oriented Programming
- Objects, Its Functions, Methods and Properties Introduction to Events
- Details of Events, How & When to use of Events, Preparing to 'Macro'
Visual Basic Editor (VBE) - Developer Tab, Security
- Introduction to the VBE, Properties window, Project Explorer, Password
Protection of Code How to use the VBE - Features, Options, Intelligence
Technology
- Debugging Mode, Bookmarks, Breakpoints, Watch Window, Immediate Window
and Locals Window Inbuilt VBE Help Feature - Tips and Tricks
- Form Controls vs. ActiveX Controls Getting into the Code
- Message Box and Input Box Working with Data in Excel through VBA
- Data Types, Constants and Variables
- Different type of data type; How and When to use Variables to Store
Information.
- For-Next, For-Each, Do-While, Do until, Do Loop Decision-Making and Code
Branching
- If-Then-Else, Select-Case, And/or Nested Conditions
- What is user's Defined Functions?
- How to create & use them.
- Use of Arrays in VBA programming with one dimensional, two dimensional
or multi-dimensional analysis
- Excel VBA Power Programming For VBA Macros
- Working with Dynamic Ranges. Protecting Worksheets, Cells and Ranges.
Working with Multiple Files. Opening & Saving Files
- How to Analyze Data On Multi Worksheets And Build Summary Sheets
- How to Access The Windows File And Folder System To Open And Close
Workbooks
- How to Protect Your Code Against Errors
- How to Use Excel And VBA To Create Basic Dash Boards
- How to Create Your Own Custom Business Worksheet Functions In VBA
- How to Create Basic Report Generation Tools Using Excel VBA, Microsoft
Word And PowerPoint
- How to Use The Excel Visual Basic Macro Recorder To Record Excel Tasks
In VBA And Then Interpret The Code
- Overview of Using User forms To Create Business Wizards
- Working with User Forms & User Forms Events like List box, Combo box,
Option Buttons, Check box, Text box, Labels, Command button, Toggle
button.
- How to create dynamic dashboard on user form with different controls
- How to link various user form with each other to create a complete
interface between user and system
- Connection between Excel VBA & other platforms
- How to Establish Connection Between VBA and Internet Explorer to Open
any Internet Website through VBA
- How to Establish Connection Between Excel VBA and power presentation to
create power point through VBA
- How to Establish Connection Between Excel VBA and Access database to
update the data in access through VBA
- How to Establish Connection Between Excel VBA and outlooks through VBA
- How to Establish Connection Between Excel VBA and MS Word through VBA
- Testing and Debugging Your Code
- Types of Errors
- Using Breakpoints
- Debugging Techniques
- Dialogue Boxes
- UsingMsgBox Function
- UsingInputBox Function
- Working with FileDialog
- Working GetOpenFilname Method
- Working GetSaveAsFilename Method
- Effective Error Handling
- Automation Development Reports & Live Projects
Module 3-SQL & MS ACCESS-MANIPULATION ,QUERIES ,SCRIPTS
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- Introduction to SQL
- SQL Course overview
- Installing the test environment
- What is SQL?
- Editors and Platforms to learn SQL
- Complete SQL in a Class
- Quick-start introduction
- Using the basic SELECT statement
- Selecting rows
- Selecting columns
- Counting rows
- Inserting data
- Updating data
- Deleting data
- Import and Export data
- Fundamentals of SQL
- Databases and tables
- SQL syntax overview
- Data Definition, Data Manipulation, Data Control, Transactional Control
statements
- Creating tables
- Deleting a table
- Inserting rows into a table
- Deleting rows from a table
- What is NULL?
- Controlling column behaviors with constraints
- Changing a schema with ALTER
- Filtering data with WHERE, LIKE, and IN
- Removing duplicates with SELECT DISTINCT
- Sorting with ORDER BY
- How Relationships Work in SQL
- Understanding joins
- Accessing related tables with JOIN
- Multiple related tables
- Explaining SQL Strings
- About SQL strings
- Finding the length of a string
- Selecting part of a string
- Removing spaces with TRIM
- Making strings uppercase and lowercase
- Numbers and SQL
- About numeric types
- Finding the type of a value
- Integer division and remainders
- Rounding numbers
- SQL Functions and Clause
- The Aggregate functions MIN, MAX, AVG, SUM and COUNT, UPPER, LENGTH,
LOWER
- The GROUP BY and HAVING clauses Grouping in a combination with joining
- Triggers in SQL
- Concept of Trigger
- Create Trigger for (Insert,Update,Delete)
- Alter Trigger
- What are Subselects and Views in SQL
- Creating a simple subselect
- Searching within a result set
- Creating a view
- Creating a joined view
- Maintaining SQL Server Database
- Backup Database
- Restore Database
- SQL Server Job Creation
- How to create job in SQL Server Agent
- How to schedule job
- Access environment and tools
- Database terminology and concept
- Designing database in Access
- Join Tables That Have No Common Fields
- Work with Subdatasheets
- Create Sub queries
- Working with the runtime of Tables
- Data migration and importing
- Working with the Design side of Queries
- Working with the runtime of Queries
- Working with the Design side of Forms
- Adding Controls to Forms
- Creating Sub forms
- Organizing Information with Tab Pages
- Displaying a Summary of Data in a Form
- Applying Conditional Formatting
- Working with the runtime of Forms, Managing Switchboard
- Understanding RDBMS
- Working with the Design side of Tables
- Working with the Design side of Reports
- Organize Report Information
- Format Reports Include Charts in a Report
- Add a Calculated Field to a Report
- Add a Sub report to an Existing Report
- Working with the runtime of Reports
- Working with the Design side of Macros
- Creating a Macro Restricting Records Using a Condition
- Automating Data Entry Using a Macro
- Working with the runtime of Macros
- How to create a functional specification
- Build a real-world business application
- Putting altogether and deployment
Module 4 - TABLEAU | MS POWER BI , BI & DATA VISUALIZATION
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Module 5 - PYTHON | R PROGRAMING ,BI & DATA VISUALIZATION
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Module 6 - PYTHON DATA SCIENCE & MACHINE LEARNING - 100% Free in Offer - by IIT/NIT
Alumni Trainer
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- Introduction to Python Programming for Data Analysis
- Data types : int, float, str etc
- Operations on data types
- Data structures: list, dict, tuples, set
- Iterators/iterables
- functions
- Pandas Dataframe, NumPy arrays
- Data manipulation in pandas: slicing, subset, cross tabulation,
aggregation
Reference Data for running example
- XYZ Company Dataset
- Titanic
Module 6 A) Data Exploration
- Data Exploration
- Univariate Statistics: mean, median, std.
- Bivariate Statistics : correlation , covariance
- Plots using Matplotlib,seaborn
- Concepts of inferential statistics
- Standardization
- log transform
- dummy variable creation
- Dimensionality Reduction + Linear Transformation
- PCA
- LDA
- Matrix
- Determinant
- Matrix multiplication
- Element wise operations
Module 6 B) Supervised Learning
- Supervised Learning
- Linear classifier: logistic regression
- Linear classifier: Support Vector Classifier
- Tree Classifier: Decision Trees
- Ensemble Classifier: RF, Boosted Trees
- Cost Function minimization
- Scikit learn library
- Regression
- Machine Learning Concepts
- Bias , Variance
- Regularization
- Hyperparameter tuning
- Parametric / non parametric methods
- cross validation
- Sampling data
Module 6 C) Advanced Unsupervised Learning
- Advanced Unsupervised Learning
- K means Clustering
- t- SNE
- Agglomerative Clustering
Module 6 D) Introduction to Text processing
- Introduction to Text processing
- Tokenization
- N-grams
- TF-IDF
- cosine similarity
- Text Classification
- Topic Modelling
- spaCy library
Module 6 E) Introduction to Deep Learning
- Introduction to Deep Learning
- Understanding a perceptron
- Forward propagation
- Backward propagation
- Parameter update
- CNN
- RNN: GRU, LSTM
- Regularization: dropout, data augmentation
- Optimization: Momentum, Adam, AdamW
- Data loading
- gradient descent
- Framework
- PyTorch
Is there any requirement of Graduation Degree?
A bachelor's degree is needed for most entry-level jobs. Most data analysts will have degrees in
fields like mathematics, finance, statistics, economics, or computer science. Strong math and
analysis skills are needed.
Why should I learn Data Analytics?
If you enjoy working with numbers and figures, then Data Analytics can be the best possible
career you can pursue as you will learn and master various Data Analytics tools which you will
enjoy.
What are the job responsibilities of a Data Analyst?
A Data Analyst collects unstructured data from various sources in the form of numbers and
converts it into plain English which can be understood by the management to make better business
decisions.
What is the scope of data analyst in India?
Data Analytics is one of the fastest growing feelings in the Indian industry which have
increased by 80% over the past few years. It is also expected to increase by 300% in the next
few years or more.
What are the eligibility criteria to join the Data Analytics training course?
The only eligibility criteria to join the Data Analyst courses to have a graduate degree in any
field. Having some sort of knowledge in programming would be beneficial but not mandatory.
Do you also provide flexible class timings?
Yes, students can take classes on weekdays and weekends as per their preference.
Whom I Contact to join or Where is the Location?
GDF Skills is located near Uttam Nagar East metro station Kindly contact to our counselor for
advanced training & placement support. Area near to us are laxmi nagar, mandawali, shakarpur,
patparganj, mayur vihar, ashok nagar, kaushambi, pandav nagar, geeta colony, shahadra, dilshad
garden, bhajanpura, loni, paharganj, connaught place, kamla nagar, karol bagh, lajpat nagar,
greater kaishal, neheru place, okhla phase, jamia, sarita vihar, dwarka, uttam nagar,
vasundhara, indirapuram, ghaziabad. Those living near jahangirpuri, azadpur, shalimar bagh,
wazirpur, pitam pura, rohini, rithala, nangloi, paschim vihar, punjabi bagh, kirti nagar, tilak
nagar, rajouri garden, janakpuri visit to our Uttam Nagar training center / East Azad Nagar
Kindly Note: GDF Skills Trainer helps you to provide best training in Uttam Nagar or East Azad
Nagar, traveling of about 15-20 minutes helps to choose best institute.
Why GDF is best for Data Analyst?
- Govt. registered institute E-verified Data Analytics Diploma
Industry acceptable Data Analytics certification for all learner's training which help
fresher/Experienced to up-skill at corporate.
- Experienced Faculty
Industry Expert Sr. Lead Analyst / Technical Analyst With 12+ Years provide workshop
session @ GDF
- Placement Assistance
GDF Skills provide 100% placement assistance after completion of Data Analytics training
our dedicated placement team arrange interview till placement.
- Lab Facility
Data Analytics Practical Training help to gain exposure like corporate level with
technical test series
- Data Analytics Workshop Sessions
Real time projects & best case study makes GDF Skills workshop very unique and lively for
learners.
- Admin Support
For Learner's, Our admin team fresh batch schedule/re-scheduling classes/arrange doubt
classes.
Data analyst & science : Job Roles
Let us take a sneak peek into some of the Data Science job roles in demand. Data
Science jobs for freshers may include the job of a business analyst, data scientist,
statistician or data architect.
- Big Data Engineer
Big data engineers develop, maintain, test, and evaluate big data solutions within
organizations.
- Machine Learning Engineer
Machine learning engineers have to design and implement machine learning
applications/algorithms to address business challenges.
- Data Engineer/Data Architect
Data engineers/architects develop, construct, test, and maintain highly scalable data
management systems.
- Data Scientist
Data scientists have to understand the challenges of business and offer the best
solutions using data analysis and data processing.
- Statistician
Statistician interprets the results, along with strategic recommendations or incisive
predictions, using data visualization tools or reports.
- Data Analysts
Data analysts are involved in data manipulations and data visualization.
- Business Analysts
Business analysts use predictive, prescriptive, and descriptive analyses to transform
complex data into easily understood actionable insights for the users.
Data Scientists: Average Salaries
S.No |
Chapter Name |
Job Profile |
Annual Package (In Rupees) |
Software Engineer |
2,51,000 to 10,00,000 |
Data Analyst |
1,97,000 to 9,12,000 |
Senior Software Engineer |
4,64,000 to 20,00,000 |
Data Scientist |
3,37,000 to 20,00,000 |
Software Developer |
2,06,000 to 10,00,000 |
Sr. Software Engineer/Developer/Programmer |
4,13,000 to 20,00,000 |
Senior Business Analyst |
4,29,000 to 20,00,000 |
Business Analyst, IT |
2,86,000 to 10,00,000 |
Senior Data Analyst |
3,10,000 to 10,00,000 |
Top Recruiters
- Amazon
- LinkedIn
- IBM
- Walmart Labs
- Busigence Technologies
- Fractal Analytics
- Sigmoid
- Flipkart
- Mate Labs
- Couture