#1 Data Analyst Course, 100%MNC Job upto 60K, Free R, Python, Alteryx, SLA Institute, Delhi NCR

Advanced Data Analytics Certification Course

Live Online | Delhi | Gurgaon | Noida

Free Data Science Training by IIT/NIT Alumni

100% Interview Guarantee in MNC

Data Analytics Course ▷ Online/Offline

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Data Analytics Training Course in Delhi NCR

Data Analytics Certification

Industry acceptable Data Analytics certification for all learner’s training which help fresher/Experienced to up-skill at corporate.

Big 4 Working Trainer

Industry Expert Sr. Lead Analyst / Technical Analyst With 10+ Years provide workshop session @ SLA

Placement Assistance

After completion of 70% 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 SLA workshop very unique and lively for learners.

Admin Support

For Learner’s, Our admin team fresh batch schedule/re-scheduling classes/arrange doubt classes.

The phrase “Data Analytics” refers to the process of examining data sets to draw decisions about the information data contain. Data Analytic techniques allow you to take raw data and uncover patterns to gain an accurate and deep understanding. Error-free data analysis minimize financial loss of organization. Becoming a Data Analyst or Business Analytics as a career will be a breakthrough in 2022. Upskilling with analytics automation will be the success factor for any learner.

In order to become a Data Analytics professional, one should also have knowledge in various Data Analytics tools such as Python, Tableau, Power BI, OR, Alteryx, Qlikview, MS Excel , Automation in Excel (VBA/Macros) and MS Access, SQL. The best way to gain relevant skills and master Business Intelligence and Data Analytics tools by attending quality Data Analytics Training in Delhi NCR, Noida, Online & Gurgaon provided by SLA Consultants India.

Best Data Analytics Training Program is designed by industry experts which provides full expertise in different Data Analytics techniques like Descriptive analysis, Exploratory analysis, Diagnostic analysis, Predictive analysis, Prescriptive analysis etc.Data Analytics & Python Data Science Certification 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 NCR & Online which is specifically targeted towards both fresher and working professionals who want to enter into the field of Data Analytics/Business Analytics/Data Science. The Data Analytics Certification Training is conducted by highly certified subject matter experts with the word 10 to 15 years of experience in the relevant field.

The Data Analyst Training Course in Delhi NCR 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 five different models which can be completed within 150 hours. The major highlight of the Data Analytics Training Course is the Data Analytics course content which is highly updated as per the industrial standards. 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. Upon completion of the Data Analytics Training Course in Delhi NCR, Noida & Gurgaon, the participants will be able to interpret Data and Analyse results using Statistical Techniques and provide reports, develop 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 analysing 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 Course in Delhi NCR, Noida & Gurgaon 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.

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 behaviour 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 analyse 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 reason 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.

Therefore, if you have made up your mind to learn Data Analytics, then you can visit our Data Analytics Training institute in Delhi, Gurgaon or Noida for registration or submit your quotation on our official website.

Data Analytics Practical with Interview Guarantee

Our Trainer:- 10+ Years of industry experience as a Data Analyst in MNC, Education:- B.Tech

Course Duration: 150 (Hours) with Highly Skilled Corporate Trainers

(Data Analytics Training) for 5 Modules – Weekdays / Weekend

SLA Consultants India – Data Analytics Training Delivery Method:

Web / Desktop Base.

Instructor-Led Classroom Sessions.

Presentations/Demonstration/Practicals of concepts.

Handouts/Assignments/Real-time Exposure to work on Clients.

Data Analyst Training Course Modules

Data Analytics Training in Delhi NCR

Module 1 - Basic and Advanced Excel With Dashboard and Excel Analytics

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:-

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:-(Real World Data):-

Module 2 - VBA / Macros - Automation Reporting, User Form and Dashboard

Dashboard Reports Allow User to Get High-Level Overview of the Business and Help Them Make Quick Decisions. Dashboards are Often Called as Management Information System (MIS), Which Provides Information that Organizations Require to Manage Themselves Efficiently and Effectively.

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./li>
How to create dynamic dashboard on user form with different controls/li>
How to link various user form with each other to create a complete interface between user and system/li>

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 and MS Access - Data Manipulation, Queries, Scripts and Server Connection - MIS and Data Analytics

MS Access is a relational database management system (RDBMS) from Microsoft that combines the relational Microsoft Jet Database Engine with a graphical user interface and software-development tools. … It can also import or link directly to data stored in other applications and databases.

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

Topics Covered as follows: Access

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
Create Query

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 - MS Power BI | Tableau Both BI & Data Visualization

Module 4 a) Tableau

Module 1 – Getting Started with Tableau

Overview Of Tableau

Tableau Architecture

Installation And Configuration Of Tableau 10

Module 2 – Connecting to The Data

Managing Metadata

Managing Extracts

Data Sources

Cross-Database Joins

Data Aggregation And Data Ports

Tableau Charts

Bar Charts and Stacked Bars Data Blending

Tree Maps and Scatter Plots

Individual Axes, Blended Axes, Dual Axes and Combinational Chart

Module 3 – Visual Analytics

Drill Down and Hierarchies

Sorting, Filtering and Grouping

Trend and Reference Lines

Forecasting and Clustering

Analysis with Cubes and MDX

Module 4 – Developing First Bar Char

Connecting Tableau to Data File

Navigating Tableau

Calculated Fields

Adding Colors, Labels and Formatting

Module 4 b) MS Power BI

A Quick Introduction

What is MSPBI and its scope

Learn the common work flow in MSPBI

Building blocks of MSPBI and its relations

Quick demo how to create a business dashboard in MSPBI

MSPBI components

Old vs. new technologies

Power BI Desktop/Service/Mobile

Getting Business Data

Get data in shape for use with MSPBI

Combining two or more data sets (source data) for reporting

Tackling messy data in MSPBI

Clean and transform data

Modelling in Power BI

How to connect many different data sources

Manage data source (database) relationships

Unique keys

Calculated columns and more

Custom calculations to evaluate time-based functions

Build calculated tables based on DAX formulas and expressions

Creating and viewing visuals easier with optimized models

Discover hierarchal drill-down tools for date fields

Data Visualization

Create and customize visualization in MSPBI and its power

Use combination charts

Module 5 – Time Series, Maps and Aggregation

Data Extracts and Time Series

Understanding Granularity, Aggregation and Level of Details

Default Location in Maps

Custom Geo Coding

Symbol Map and Filled Map

Module 6 – First Dashboard

Into Section

Joining Data In Tableau

Working With Maps and Hierarchies

Scatter Plot and Applying Filters in Different Sheets

Creating First Dashboard

Module 7 – Blending Data and Dual Axis Charts

Duplicate Values

Multiple Fields

Data Blending

Dual Axis Chart

Building Calculated Fields

Module 8 – Table Calculation and Storytelling

Downloading Dataset and Connection

Mapping

Building Table Calculation For Gender

Bins and Distributions for Age

Tree Map Chart

Advanced Dashboard

Storyline and Storytelling

Module 9 – Data Preparation

Data Format

Data Interpreter

Multiple Columns And Pivot

Metadata Grid

Advanced Data Preparation

Create and format slicers with it

Map visualizations and its utilization

Use tables and matrixes

Long live bubbles

scatter charts in action

Advanced funnel and waterfall charts

Drive fast dashboard insights with gauges and numbers

Color your visualization world with colors

shapes and scales

Adding personal touch

logo etc. to reports and dashboards

Display and present your dashboard in a way you want with summarize data

Control how your report elements overlap with each other

Learn to drill into hierarchies

Manage how levels are shared (Z-order in reports)

How to use R visuals in MSPBI

Data Exploring & Sharing

Quick insights in Power BI Service

Create and configure a dashboard

Share dashboard with your organization

Display and edit visuals- tiles

full screen

Get more space on your dashboard

Install and configure a personal gateway

Excel and MSPBI

Import and excel table into Power BI

Import excel files with data models and power view sheets

Connect One Drive for business to MSPBI

Excel data in Power BI summary

DAX (Data Analysis Expression) Application

DAX and its basic building blocks

Create calculated columns (fields) and measures in MSPBI using DAX formulas

Breadth of functions available in DAX

User variables in DAX

Create expressions across multiple tables with relational functions;

Filter and evaluate tables using advanced table functions

Module 5 - Free Python Data Science | Alteryx/ R Programing

Module 5 a) R-Programming

Module 1- Introduction to Business Analytics

Introduction to Business Analytics

Types of Analytics

Case study on Walmart, Signet Bank

Data Science and its importance

Module 2- Introduction to R

Introduction to R

Installing R

Installing R Studio

Workspace Setup

R Packages

Module 3- R Programming

R Programming

if statements

for statements

while statements

repeat statements

break and next statements

switch statement

scan statement

Executing the commands in a File

Module 4 – R Data Structure

Data structures

Vector

Matrix

Array

Data frame

List

Factors

Module 5 – Apply Functions

DPLYR & apply Function

Import Data File

DPLYP – Selection

DPLYP – Filter

DPLYP – Arrange

DPLYP – Mutate

DPLYP – Summarize

Module 6 – Apply Functions

Data visualization in R

Bar chart, Dot plot

Scatter plot, Pie chart

Histogram and Box plot

Heat Maps

World Cloud

Module 5 b) Python

Module 1 – Introduction to Python

Python Overview

Advantages and Disadvantages

Installation and Configuration

Interpreted Languages

Module 2 – Programming with Python

Python Script

Standalone Scripts Under Unix And Windows

Using Variables and Operators

Command Line Parameters

Understanding Expressions

Module 3 – Flow Control

If And Else If Statement

The While and Loop Statement

Continue Statement

Break Statement

Range () Function

Using Lists

Module 4 – Sequence Data

List Operations and Methods

Sets

Dictionaries

Tuples

Strings

Module 5 – Functions

Defining Functions

Parameters and Variables

Using Global Statement

Keyword Arguments

Keyword Only Parameters

The Return Statement

Varargs Parameters

Docstrings

Module 6 – Errors and Exception Handling

Dealing Syntax Errors

Exception Handling

Cleaning Up

Module 7 – Modules

Creating Modules

The From and Import Statement

Module 7 – Apply Functions

Introduction to statistics

Type of Data

Distance Measures (Similarity, dissimilarity, correlation)

Euclidean space.

Manhattan

Minkowski

Cosine similarity

Mahalanobis distance

Pearson’s correlation coefficient

Probability Distributions

Module 8 – Hypothesis Testing I

Hypothesis Testing

Introduction

Hypothesis Testing – T Test, Anova

Module 9 – Hypothesis Testing II

Hypothesis Testing about population

Chi Square Test

F distribution and F ratio

Module 10 – Regression Analysis

Regression

Linear Regression Models

Non Linear Regression Models

Module 11 – Classification

Classification

Decision Tree

Logistic Regression

Bayesian

Support Vector Machines

Module 12 – Clustering

Clustering

K-means Clustering and Case Study

DBSCAN Clustering and Case study

Hierarchical Clustering

Module 13 – Association

Association

Apriori Algorithm

Candidate Generation

Visualization on Associated Rules

Summary

Package

Dir Function

Module Name

Module 8 – Importing and Exporting Data

Importing Data From Different Sources

Connecting To Databse

Viewing Data Objects And Sets

Exporting Data To Other Formats

Module 9 – Data Manipulation and Data Analysis

Cleansing Data With Python

Data Manipulation

Python Tools And In-Built Functions

Formatting And Normalizing Data

User Defined Functions

Data Analysis Using Statistics And Graphical Representation

Module 10 – Data Structures and Regular Expressions

List, Tuples, Dictionaries And Set

Re Objects

Pattern Matching

Subexpressions

Parsing Data

Complex Substitutions

Module 11 – Live Practice Sessions

Projects and Assignments

Live Training

Module 6 - Python Data Science and Machine Learning - 100% Free in Offer - by IIT/NIT Alumni Trainer

Module 6.1

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 6.2

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 6.3

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 6.4

Advanced Unsupervised Learning

K means Clustering

t- SNE

Agglomerative Clustering

Module 6.5

Introduction to Text processing

Tokenization

N-grams

TF-IDF

cosine similarity

Text Classification

Topic Modelling

spaCy library

Module 6.6

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

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Data Analytics

Ad.Excel, MIS & Data Analysis

Business Analytics

R/Python Visualization

FAQ

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 is the job responsibilities of a Data Analyst?

A Data Analyst collects unstructured data from various sources in the form of numbers and convert 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 is 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?

SLA Consultants gurgaon is located near Nirman vihar 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 gurgaon training center / Laxmi Nagar Kindly Note: SLA Consultant India Trainer helps you to provide best training in Gurgaon, traveling of about 15-20 minutes helps to choose best institute

Do you also provide certification and placement support after the Data Analyst training?

Yes, all the participants are entitled to receive a valid certification in Data Analytics along with 100% job placement assistance including Interview preparation and personality development training.

Testimonials

Rahul Pal
From my point of view, SLA is the good institute, I’ll strongly recommend SLA Consultants India. Training institute for Analyst courses. I am pursuing my Data Analyst Course from the institute under the guidance & knowledge of professional Data Analyst trainers, & my two modules (Advance Excel and VBA) of the course has been completed. I must say that they have good faculty, as well as have the great infrastructure for learning and practicing.
Rahul Pal
Rohit Bhagat
I strongly recommend SLA Consultants India, Training Institute for doing courses. I am doing my Data Analyst course in SLA Consultants India, Laxmi Nagar-Head Office, till now my two modules(Advanced Excel and VBA) have been completed. Its been good experience with a trainer, as they shared me a lot of knowledge in brief. At the institute, trainers and admin staff are good & cooperative.
Rohit Bhagat
Deepak Sharma
I have completed Advanced Excel & Visual Basic Automation training course from SLA Consultants India. I had amazing experience after completion of training program and I would like to say thanks to the trainer, who elaborate solution for all the problems very quickly at the same time with very easy Technic to better understanding. Trainers are very kind and helpful. I would like to rank him 5 out of 5. I am so much obliged and feeling grateful, thanks a ton for the great support by trainers and thank you SLA Consultants India.
Deepak Sharma
MIS & Data Analyst Executive
Amit Kumar
I hope, my review may help to those who are searching for an institution where they can enhance their skills and get a placement as well. I have joined SLA Consultants India for complete MIS course, my trainer is one of the best teacher of my life. Who are searching for a institute joined it immediately without hassle & wasting your time. Trainer will teach you both theoretical as well as practical knowledge, also prepare you for interviews. The best thing about trainer is that they help you even after you completion of your course, share queries on e-mail or Whats-App your query and you will get your problem resolved. My over all experience was awesome.
Amit Kumar
MIS & Data Analyst Executive
Vinay Tiwari
My experience in SLA is quite well.I have taken classes for both modules Advance Excel and VBA Macros. Whenever I raised for any doubt and to be honest my all queries and doubt were sorted out patiently. I must say my trainer was quite supportive and patiently explained everything. Even though I have taken classes on weekend basis, but never feel like that the course is running or missing anywhere. And now I am too confident about Excel and VBA after completion of training under expert trainers. I will always recommend everyone to Join SLA Consultants India, if they are interested in MIS and RPA etc..
Vinay Tiwari
MIS & Data Analyst
Himanshu Nautiyal
I have done MIS & VBA course form SLA Consultants India under the guidance of Anoop Sir, he has a very good knowledge & experience. He is a professional Trainer & his way of teaching is very good. It is great experience for me to grow with my skill & work efficiency. It is very good Platform who wants to build-up their career in MIS. Also thanks to Swati Mam for Co-ordinate with us and help me to find a good platform.
Himanshu Nautiyal
Fortune Marketing Pvt.Ltd.
Rahul Kumar
I have done MIS & VBA Training form SLA Consultants under the guidance of professional trainer, has a very good knowledge & experience in Corporate & MNC. He is professional Trainer & his way of teaching is as per the corporate requirement. I’d great experience for me to grow my skill & work efficiency. It is very good pelt from who wants to build-up their career in MIS.
Rahul Kumar
MIS Executive at ASIAN COLOUR COATED ISPAT LTD
Anil Kumar
It was one of the best decisions to join SLA consultants for my course. The course that I pursued here was very well planned and executed. I’m highly satisfied with professional trainers. The lectures were easy to understand & industrial based & every doubt of mine was properly explained. I would recommend SLA Consultants India to all those who are willing to grow in their careers and do well.
Anil Kumar
MIS Coordinator at IQOR
Kumar Gautam
I joined MIS/VBA training at SLA. This type of practical oriented classroom training is very helpful & who’ll follow classes under the expert trainers with this approach ensures that they will learn completely about subject in short period of time. “SLA Consultants India” is the best for learning job-oriented classroom programs. Thanks to expert trainers and Placement team for the best support.
Kumar Gautam
MIS Coordinator at IQOR
Bhavani Singh
The experience with SLA Consultants India is phenomenal. It trained me to become industry ready and exposed me to various important work practices. The staff is extremely cordial and cooperative. The faculty members are the experienced and experts in the subjects taught by them. I thank SLA & Team for the quality services and placement assistance provided by them.
Bhavani Singh
MIS Executive at G.D. FOODS MFG. (I) PVT LTD.
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