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Data Analytics Advanced Certification

(10K+ Satisfied Learners)
4.5/5

Course Overview

The Data Analytics Advanced Certification course is one of the best combinations of freshers and early career professionals. and concludes with data, operation, model, applications, techniques, and communication. It is a study of the allocated data with the help of statistical and operations analysis. The user can predict the models, optimization techniques and communication directly result in people associated with the organization. Any business model or decision-making is entirely based on quantitative methods and evidence-based data. 

In This Course, you will learn The Most Demanding Data Analytics Tools:-

Microsoft Excel, My SQL / SQL Server, Power BI, Tableau, and Python Core. VBA we have kept optional, however, if you are learning Python then VBA-Macros you can skip it.

With all of the advantages of data analytics, the key benefits can be described in this way:

  • Data analytics reduces the costs associated with running a business. …
  • Data analytics cuts down the time needed to come to strategy-defining decisions. …
  • Data analytics helps to define customer trends.
 
 

The Future of After Completing Data Analytics Course

Analytics Training Hub provides 100% placement In MNCs. A data analytics certification can make you eligible for a variety of relevant job roles, such as solution architect, data scientist, project manager, business intelligence professional, and statistician

Is a Data analytics certification worth it?

If you’re looking for a career in data analytics: yes! Gaining certification in data analytics will equip you with all of the necessary skills and know-how required to land a job as a data analyst.

Instructor-Led Online Training

Batch Start DateClass TypeUpcoming SlotsTimingsLocation
29th Jan 2023OnlineSold Out
SAT & SUN (5.5 WEEKS)
7:30 PM to 9:30 PMOnline
12th Feb 2023OnlineFilling Fast
SAT & SUN
Weekend Batch
4:30 PM to 6:30 PMOnline
26th Feb 2023OnlineSAT & SUN
Weekend Batch
10:00 AM to 12:00 PMOnline
12th Mar 2023OnlineSAT & SUN
Weekend Batch
8:00 PM to 10:00 PMOnline
26th Mar 2023OnlineSAT & SUN
Weekend Batch
10:00 AM to 12:00 PMOnline

Start Your Course Now

INR 67,850/-
INR 34,810/- +18% GST

Data Analytics Advanced Course Content

For the curriculum, you will cover  in this course, click on the tab to check the detailed content

Module 1:- Getting Started with Excel

  • Introduction to Excel 2013/2016/2019/Office 365
  • Application Interface and Key Components of Excel
  • Navigating Through Excel Ribbon Tabs
  • Exploring Important Excel Options*
  • Live Session Exercise
  • Splitting data of Single Column into multiple
  • 10 Examples to use Auto-fill and Flash Fill
  • Magic of Go-To Special
  • Merge/Unmerge Cells & Wrap Text
  • Extracting Unique Values & Important Ribbon, General and Data Entry Keyboard Shortcuts

Module 2:- Formatting Essentials

  • Formatting Essentials Introduction
  • Custom Cell Number Formats
  • Custom Date/Time Formats
  • Working with Comments / Notes
  • Format Painter – A Quick way to copy ‘Formatting Attribute’
  • Paste Special
  • Table, Table Styles & Formatting
  • Freeze Panes

Module 3:- Functions & Formulas

  • Introduction to Excel Functions and Formulas
  • Basics of Functions & Formulas
  • Working with Cell References Types
  • Most Used Basics & Advanced Functions & Formulas
  • Working with Array Formulas
  • Creating Customized Formulas Step-by-Step with Live examples
  • Creating and Working with Dynamic Ranges using Function and Excel Table features
  • Formulas Debugging / Formulas Auditing
  • Types of Formula Errors / Error Handling Tricks
  • Text Functions: – CLEAN, CONCATENATE, LEFT, RIGHT, MID, LEN, FIND, SEARCH, SUBSTITUTE, and TEXT, etc.
  • Date & Time Functions: – DATE, DAYS, TIME, NOW, WEEKNUM, WORKDAY, and WORKDAY.INTL etc.
  • Math & Trig Functions: – INT, MOD, ROUND, ROUNDDOWN, SUMIF, SUMIFS, SUMPRODUCT etc.
  • Statistical Functions: – AVERAGE, COUNT, COUNTA, COUNTBLANK, MAX, MIN, LARGE etc.
  • Logical Functions: – IF, IFS, AND, OR, and IFERROR.
  • Lookup & Reference Functions: – FORMULATEXT, VLOOKUP, HLOOKUP, INDEX, MATCH, INDIRECT, and OFFSET
  • Newly Introduced Functions in Recent Version of Excel*: – CONCAT, TEXTJOIN, IFS, SWITCH, DGET, UNIQUE, FILTER, etc.
  • Nested Conditions/Customize Formulas*

Module 4:- Data Analysis

  • Data Sorting
  • Data Filtering
  • Named Ranges
  • 10 different ways to use Conditional Formatting
  • 10 different use of Data Validation
  • What-If Analysis

Module 5:- Excel Charts

  • Introduction to Excel Charts
  • Exploring the most commonly used Charts and Templates
  • Basics of Charts
  • Selecting Requirement based Charts
  • Working with Basic Charts:
  • Creating Customized / Advanced Charts
  • Creating Dynamic Chart
  • Working with Dynamic Interactive Charts in Excel using Drop Down
  • Working with Chart Elements, Formatting, Chart Styles, Properties, etc.

Module 6:- Pivot Tables

  • Introduction to Pivot Table
  • Creating a Pivot Table
  • Use of Calculated Fields/Items
  • Pivot Table Formatting
  • Grouping Items & Summarizing data in Pivot Tables
  • Grouping and Bucketing data in Pivot Table
  • Changing/Modifying Data Sources
  • Working with Pivot Table Designs & Layouts
  • Exploring Important Pivot Table Options & Field Settings
  • Pivot Table Filters
  • Changing Pivot Table Summary Calculation
  • Use of Slicers in Pivot Table
  • Using Source Data to Convert into Infographic Summary
  • Introduction to Pivot Charts

Module 1:- Getting Started with My SQL

  • An Introduction and Overview of MySQL
  • Installation and GUI Tools
  • An Overview

Module 2:- My SQL Fundamentals

  • Introducing SELECT statement
  • Introducing WHERE clause
  • Sort result with ORDER BY
  • Using FROM to specify the source tables
  • Importance of Clause Orders
  • Data Modification tricks

Module 3:- Creating Database & Tables

  • Creating a database
  • Creating a table
  • Creating Indexes
  • Controlling column behavior with constraints
  • Using foreign key constraints
  • Creating an ID column
  • Changing a schema with ALTER
  • Introducing NULL and NOT_NULL
  • Introduction to MySQL Data Types
  • Setting up default values
  • MySQL Warnings
  • Alerting a table

Module 4:- My SQL Functions & Clause

  • Introduction to MySQL Functions
  • String Functions – CONCAT, SUBSTRING, REPLACE, REVERSE, LENGTH, UPPER, LCASE etc.
  • Aggregate Functions – COUNT, MIN, MAX, SUM, AVG, ROUND etc
  • Date/Time Functions – CURDATE, CURTIME, CURRENT_DATE, LOCALTIME etc.
  • Control Flow Functions – IF, IFNULL, NULLIF etc.

Module 5:- Multiple Tables & Joins

  • Introduction to JOINS
  • Different types of JOINS
  • JOINS and Aliases
  • Multiple Table Joins
  • Creating a simple Subselect
  • Understanding of Primary keys and Foreign keys

Module 6:- Transactions, Stored Routines & Triggers

  • Transactions & Stored Routines
  • Triggers

Bonus Modules

  • Creating a New User Login
  • Granting access to new users
  • Backup and Restore databases
  • Important Keyboard Shortcuts Guide
  • Session Study Material
  • Situational Case Studies for Best Practice and Getting Ready for Corporate World
  • 6 Months Live Support via Phone/Email/Messages

Module 1:- Getting Started with Power BI Service

  • Get Power BI Tools
  • Introduction to Tools and Terminology
  • Dashboard in Minutes
  • Refreshing Power BI Service Data
  • Interacting with your Dashboards
  • Sharing Dashboards and Reports
  • Recap and What’s Next

Module 2:- Getting & Transforming Data with Power BI Desktop

  • Introduction to Power BI Desktop
  • Getting Data: Excel vs Power BI Desktop & Service
  • Data Structure for Q&A
  • DirectQuery vs Import Data
  • Recap and What’s Next

Module 3:- Modeling with Power BI

  • Introduction to Modeling
  • Setup and Manage Relationships
  • Cardinality and Cross Filtering
  • Default Summarization & Sort by
  • Creating Calculated Columns
  • Creating Measures & Quick Measures
  • Recap and What’s Next

Module 4:- Power BI Desktop Visualizations

  • Creating Visualisations
  • Color Formatting
  • Setting Sort Order
  • Scatter & Bubble Charts & Play Axis
  • Tooltips
  • Slicers, Timeline Slicers & Sync Slicers
  • Cross Filtering and Highlighting
  • Visual, Page, and Report Level Filters
  • Drill Down/Up
  • Hierarchies
  • Reference/Constant Lines
  • Tables, Matrices & Conditional Formatting
  • KPI’s, Cards & Gauges
  • Map Visualizations
  • Custom Visuals
  • Managing and Arranging
  • Drillthrough
  • Custom Report Themes
  • Grouping and Binning
  • Selection Pane, Bookmarks & Buttons
  • Recap and What’s Next

Module 5:- Power BI Service Visualization Tools

  • Introduction
  • Standalone Tiles
  • Data-Driven Alerts
  • Quick and Related Insights
  • Custom Q&A questions

Module 6:- Publishing & Sharing

  • Introduction
  • Sharing Options Overview
  • Publish from Power BI Desktop
  • Publish to Web
  • Share Dashboard with Power BI Service
  • Workspaces and Apps (Power BI Pro)
  • Content Packs (Power BI Pro)
  • Print or Save as PDF
  • Row Level Security (Power BI Pro)
  • Export Data from a Visualization
  • Publishing for Mobile Apps
  • Export to PowerPoint
  • Sharing Options Summary

Module 7:- Refreshing Datasets

  • Understanding Data Refresh
  • Personal Gateway (Power BI Pro and 64-bit Windows)
  • Replacing a Dataset
  • Troubleshooting Refreshing

Module 8:- Power BI & Excel Together

  • Options for Publishing from Excel
  • Pin Excel Elements to Power BI
  • Connect to Data using Power BI Publisher/Analyze in Excel
  • Excel 2016 Publish: Upload and Export to Power BI
  • Sharing Published Excel Dashboards

Module 1:- Getting Started with Tableau

  • Introduction to Data Visualization
  • Leading Data Visualization Tools
  • Introduction to Tableau
  • Exploring Interface and Important Key Component
  • Navigating Through Tableau Menu Tabs
  • Exploring Each Menu Tab i.e. File, Data, Worksheet, Dashboard, Story, Analysis, Map, Format, Server etc.*
  • Tableau – Design Flow
  • File Types
  • Tableau Data Types
  • Show Me
  • Data Terminology

Module 2:- Connecting to Data with Tableau Desktop

  • Introduction to Data Connection
  • Data Source Interface
  • Types of Data Connections
  • Extracting Data
  • Custom Data View
  • Joins and Unions
  • Data Blending
  • Live Connection Vs Extract
  • Field Operations
  • Basic Project Activity

Module 3:- Examining & Filtering

  • The Sheet Interface
  • Dimensions & Measures
  • Hierarchies
  • Data Granularity
  • Highlighting
  • Data Sorting
  • Grouping Data
  • Data Filtering
  • Data Source Filters
  • The Filter Shelf
  • Dimension Filters & Card Modes
  • Context Filters
  • Measure Filters
  • Creating Sets

Module 4:- Field Types & Charts

  • Utilize Auto-Generated Fields
  • Use Titles, Captions and Tooltips Effectively
  • Creating Bins
  • ToolTip
  • Basic Charts

Module 5:- Calculations in Tableau

  • What are Calculations
  • Methods to Create Calculated Field
  • Introduction to Tableau Functions
  • Operator and Syntax Conventions
  • Introduction to Table Calculations

Module 6:- Level of Detail (LOD) Expression

  • Level of Detail (LOD) Calculations
  • Live Use Cases of LOD
  • Introduction to Parameters
  • Parameters Data Type Options

Module 7:- Geographical Visualization

  • Introduction to Geographic Visualizations
  • Assigning Geographical Locations
  • Spatial Files
  • Map Types
  • Custom Geocoding
  • Background Image

Module 8:- Advanced Charts in Tableau

  • Introduction to Advanced Charts
  • Bar in Bar Chart
  • Bullet Chart
  • Pareto Chart
  • Gantt Chart
  • Hierarchy and Tree Maps
  • Box and Whisker’s Plot
  • Waterfall Chart
  • Step and Jump Lines
  • Maps on a Scatter Plot
  • Bubble Chart
  • Control Chart
  • Funnel Chart
  • Packaged Bubbles
  • Word Cloud
  • Donut Chart
  • Trendlines
  • Reference Line, Bands, and Distributions

Module 9:- Dashboard & Stories

  • Introduction to Dashboards
  • The Dashboard Interface
  • Important Dashboard Objects
  • Adding Objects to the Dashboard
  • Building a Dashboard
  • Dashboard Design and Formatting
  • Types of Actions
  • Designing Dashboard for Tablets & Mobile-Phones
  • Story Points
  • Sharing Workbook
  • Wrapping up Tableau Program

Module 1: Getting Started with Python Core

✓ Need of Programming with an Example
✓ Why Programming
✓ Advantages of Programming
✓ Different Programming Languages
✓ Introduction to Python
❑ A Brief History of Python
❑ Why Python
✓ Installing Python
✓ Creating Python File using IDLE
✓ Write your first Program in Python
✓ How to execute Python Program
✓ Identifier
❑ Rules for Naming Identifiers
✓ Variables
✓ Operator
❑ Operator Types
✓ Q&A

Module 2: Datatypes in Python

✓ Introduction to Python Data Types
✓ Strings
❑ Introduction to Python ‘String’ data type
❑ String Properties
❑ String built-in functions
❑ Programming with Strings
❑ String Formatting
✓ Lists and Tuples
❑ Introduction to Python ‘List’ data type
❑ List Properties
❑ List built-in functions
❑ Programming with Lists
❑ List Comprehension
❑ Introduction to Python ‘tuple’ data types
❑ Tuples as Read only lists
✓ Dictionary and Sets
❑ Introduction to Python ‘Dictionary’ data type
❑ Creating a dictionary
❑ Dictionary built-in functions
❑ Introduction to Python ‘set’ data types
❑ Set and Set properties
❑ Set built-in functions
✓ Q&A

Module 3: Conditional & Control Statements in Python

✓ Introduction to Conditional Statements
❑ Types of Conditional Statements
o If….Statement
o If….Else Statement
o Elif…. Statement
✓ Introduction to Loops
❑ Types of Loops in Python
o While….Loop
o For….Loop
o Nested Loop
✓ Introduction to Loop Control Statements
❑ Loop Control Statements Keywords
o Break Statement
o Continue Statement
o Pass Statement
✓ Q&A

Module 4: Functions in Python

✓ Introduction to Python Functions
✓ User Defined Functions
❑ Functions definition and return statement
❑ Calling a Function
❑ Parameters and Arguments
❑ Required Arguments
❑ Default Argument
✓ Variable Scope in Function
❑ Local Scope
❑ Global Scope
❑ Enclosing Scope
❑ Built-in Scope
✓ Modules and Packages
❑ Importing Module (from, import statement)
✓ Anonymous functions (Lambda)
✓ Q&A

Module 5: Exception Handling & OOPs Concepts

✓ Getting started working with Files
❑ File Objects and Modes of file operations
❑ Reading, Writing, and use of ‘With’ Keyword
❑ Read(), Readline(), Readlines(), Write(), Writeline()
✓ Introduction to Exception Handling
❑ Understanding Exceptions
❑ Handling An Exceptions
❑ Try, Except, Else, and Finalizing
❑ Raising Exceptions with: Raise, Assert
✓ Introduction to Object Orientated Programming (OOPs)
❑ Why OOPs
❑ Difference Between POPs and OOPs
❑ OOPs Concepts
❑ Python OOP Vs Other OOPs
❑ Class and Objects
❑ Relation Between Class and Objects
❑ Creating a Class
❑ Attributes
✓ Built-In Class Attributes
✓ Class Variable and Instance Variable
❑ Constructor and Destructor
❑ Multiple Constructors
❑ Abstraction
❑ Inheritance
✓ Inheritance Types
❑ Overloading
❑ Overriding
❑ Data Hiding
✓ Q&A

Module 6: Database Connectivity & Regular Expressions

✓ Introduction to Regular Expressions
❑ What are Regular Expressions
❑ Regular Expressions Operations
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❑ Search Function
❑ Match Function
❑ Modifiers
❑ Patterns
✓ Database Connectivity
❑ Introduction to Database Connectivity
❑ Connections
❑ Executing Queries
❑ Transactions
✓ Q&A

Module 7: Data Manipulation & Data Visualization

✓ What is Data Manipulation
✓ Introductions to Pandas
✓ Data Manipulation with Pandas
✓ Data Structures & Series
✓ Data Frame
✓ Missing Values
✓ Data Operations
✓ Data Standardizations
✓ Pandas File Read (CSV, Excel, SQL) and Write Support
✓ Data Acquisition (Import & Export)
✓ Introduction to Data Visualization using Matplotlib
❑ Installing Matplotlib
❑ Plotting in Matplotlib
❑ Creating First Plot with Matplotlib
❑ Creating Column/Line/Scatter Plots
✓ Wrapping Python Core Program
✓ Q&

Highlights

✔️ 80 Hours / 38 Sessions
✔️ Per Session for 2 Hours

We have included unlimited real-life examples and case studies in our course.

After every session you will get assignments, study material & real-life case studies & Projects. 

In a set of the time period, you will be having access to getting support from our expert

After completing your course, we will provide you with a Course Completion Certificate

You will get 100% job assistance according to your CTC, Experience, and Present skills If you opt for any of our packages.

Need more details about the course, let’s connect with our experts

Let’s Get Our Expert’s Guidance



    Most Frequent Questions and Answers

    Data analysts or data scientists interested in learning Python’s tools for doing Data Science. Business Analysts and Business Intelligence experts who would like to learn how to use Python for doing their data own analysis tasks will also find this tutorial very helpful. Software engineers and developers interested in Python’s capabilities for analyzing data gain a lot from this course. 

    Yes, you would be require SQL knowledge for Python

    Yes, we do provide case studies, assignments, and session study material after each session so that you can practice for each session and can start implementing it in your work from day 1.

    Yes, we have recorded videos of our live sessions and will share the same in which you can see what kind of examples we use, the training method, and most important quality of the content delivery.

    As part of the course, learners will get weekly assignments and module-wise case studies. Once they successfully complete all their assignments, we’d evaluate them, and then the certificate shall be awarded.

    Yes, we assist in job placement. 

    We have links with the companies, we keep on getting the Data analyst requirement from them. Based on your current CTC, experience, and skills we refer you to them. And then it is your responsibility to how you present your skills.

    • Industry Experts (Minimum 10 years of Experience)
    • 360-Degree Knowledge & experience in High-Quality Content & Training Delivery
    • Trainers are SMEs in their respective fields with HandsOn experience
    • Experts in MIS, Data/Business Analysts, Product experts & Data Management
    • Quality Student Engagement to build a strong foundation

    Unfortunately, we don’t provide lifetime access to videos, but yes we provide access for a good time so that you can learn the application and practice it as much as you want. And then can start implementing the learning in your work.

    The reason why we don’t provide lifetime access is that our education panelist has decided and the reason is strong to not provide lifetime access. First of all, when learners come to us to learn these courses it is their immediate requirement to upgrade their skills and get the opportunity. Every time you will not go on a portal and start learning it from scratch and the way technology is growing you have to upgrade your skills every year but for new applications not for old technology.

    Unnecessary, we don’t want to increase your budget in providing video access for a lifetime, also your dependency on these videos, our motto is to make you independent on these applications. And the time we are giving you is sufficient to learn any of the applications.

    Student Reviews


    Really enjoyed the course.. It gave an amazing experience of 2 days session with Mr. Anil Dhawan Sir, It was very useful and informative. ATH is a very good place to learn data analytics courses. Learn a lot from the session..
    ATH student review
    Rahul Sharma
    Financial Analysts


    I have get the training of excel for 2 days from anil dhawan sir. It was the great and amazing experience. We learnt a lot new things and it's very beneficial for our future.
    Ath student review
    Shivangi Singh
    Administrative Assistants
    Absolutely recommendable! If you are in search of a Microsoft Excel Certification ​Course & Job Assistance then this place is good to opt. Before joining them I was actually in doubt whether they will be able to help me to get a job in this field or not but now I am really happy. I have got a good job ...
    ATH student review
    Vikas Chaudhary
    Retail Store Managers

    I am working as a HR,and it requires excel workings regularly so I searched a lot for advanced excel classes,and came across this one..Trust me people,its the best class if you want to learn excel or any other Microsoft Office Programs..Sir is too communicative and teaches in an organized manner.
    ATH student Review
    Shivani Goyal
    Data Architect and Administrators


    ATH is the best place to start your Data Analytics Journey, I enrolled for Excel, Power BI, My SQL. Their Counsellors suggested me this package after understanding my whole scenario...but yes it was worth it. Highly recommended
    ATH student review
    Dolly Sharma
    Data Engineer


    ATH is such a ladder for career growth, as i studied in many institutes but after taking classes my belief is restored that good institutes still exists, who’s totally focuses on skill development of students instead of only making money.
    Aman Singh
    Data Analyst

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    Data Analytics & Data Science Batches Starting from 12th of February 2023. For More Details:- Call Us Today! @ +91 99907 48956 | 91 96503 08956