Data Analytics Interview Preparation Course

Data Analytics Interview Preparation Program

What You Will Learn In This Program: Just Start This Program with 3999/-

We Demonstrate End-to-End Data Analytics Project Pipelines which Include ETL using Python, Data Warehousing using SQL & Snow Flake and Data Analysis using Power BI & Deployment of Dashboard and Many More.
Work on End-to-End Data Analytics Project Pipelines & Place them in Resume
Work on 5+ Real-Time Projects & Place them as Experience or Internship
Get Self-Study Content on Python, Power BI, Tableau, R Programming, Excel & SQL
1-on-1 Interview & Resume Mentorship
Weekday Live Lectures with Live Doubt Clarification Sessions
Post-Placement Support

Data Analytics Interview Preparation Syllabus

Real-Time Project-Review Classes, Project Demonstration Classes, Live Doubt Classes, Interview Preparation Classes & Revision with Mindmaps.

Live Real-Time End-to-End Project Demonstrations[To Place in Resume]

Project-1: Star Schema Data Model using SQL & Data Retrieval
Project-2: Data Ingestion into Python, ETL in Python & Storing in Data Warehouse & Analysis in Power BI/Tableau
Project-3: KPI Identification, Dashboard Creation with KPIs & Dashboard Deployment with Automatic Data Refresh
Project-4: ETL, SnowFlake DataWareHouse & Power BI KPI Dashboard Project Pipeline with Deployment
Project-5: End-to-End Data Analytics Project using Python
Project-6: End-to-End Statistics & Forecasting Based Data Analytics Project Using Python

Internship Projects To Work & To Place in Resume

Topic Wise Interview Preparation of Data Analytics

Resume, Mock Interview, Documents, Certificates & Job Portal Optimisation

Applied Statistics[Self-Study]
Statistics is very important for Data Analyst & Data Scientist job positions. We will be discussing Applied Statistics and How we use them in Real-time with proper Pros and Cons behind every Statistics Topic with Mindmap Driven Approach.

What is Data, What is Random Variable, Types of Data?

01:08:31
Probability Distributions and Normal Distribution

01:29:44
Introduction to Statistics
Properties of Data
Sample vs Population
Types of Sampling Techniques
What is EDA
Analysing Data using EDA with Excel
Measures of Dispersion
Skewness & Normality
Correlation & Scatterplot
Barplot & Lineplot
Revision of Topics
Box & Whisker Plot
Outlier Identification
Treating Outliers
Types of Analytics
Statistical Analysis Consideration
Introduction to Inferential Statistics
Law of Large Numbers
Central Limit Theorem
Probability Distributions
Conditional Probability
Continuous Probability Distribution & Discrete Probability Distribution
PMF, CDF, PDF, PPF in Probability
Binomial Distribution
Poisson Distribution
Normal Distribution
Exponential Distribution
Laplace Distribution
Log-Normal Distribution
Standard Error
Confidence Interval Calculations
Z-Table for Confidence Interval
T-Table for Confidence Interval
Hypothesis Testing
Null & Alternate Hypothesis
Type-1 Error & Type-2 Error
2-Sample T Test
ANOVA Test
p-Value Calculations
Chi-Square Test
Project Demonstration using all the Statistical Techniques

Tableau Data Analysis[Self-Study]

Introduction to Tableau

01:14:02
Basics of Tableau

32:02
Different Types of Charts in Tableau

30:01
Table Calculations & Parameters

21:51
Waterfall Chart, Pareto Chart, Types of Filters

25:12
LOD Expressions & Pareto Chart

16:08
MySQL Connection with Tableau

12:10
End-to-End Project using Tableau

19:25
Connecting Tableau Desktop with Server

11:35
Tableau Server, Scheduling, Alerts, Comments

04:54
Tableau Interview Preparation Process

07:34

Mastering Power BI[Self-Study]

Introduction to Power Bi

04:33
Creating a Bar Plot

09:58
Creating Pie Chart

03:32
Creating Ribbon Chart

02:37
Creating Scatter Plot

04:10
Creating WaterFall Charts

04:41
Creating Funnel Chart

01:59
Creating Line Plot & Area Plot

05:12
Creating Matrix & Conditional Formatting

06:09
Creating Decomposition Tree

02:26
Creating KPI Card

03:13
Creating Gauge Card

04:21
Creating Slicers

03:22
Creating Animated Bar Plot

02:37
Creating Sunburst Chart

02:34
Different Filters in Power BI

04:07
Include & Exclude Operations in Power BI

02:37
Introduction to Power Query

06:11
Groupby & Replace in Power Query

01:52
Python Visualizations in Power Query
Merge and Append Operations

02:36
Prefix, Suffix, Length

02:43
Pivot in Power Query

03:51
Python Data Cleaning with Power Query
Introduction to DAX Expressions

03:05
Creating DAX Measures

03:06
Creating DAX Columns

03:06
YTD, YoY, MTD, QTD using DAX
More DAX Expressions

02:52
Publishing Power BI Visualizations

06:39
M-Language in Power Query

MySQL Deep Dive[Self-Study]

Introduction to MySQL

23:29
Creating Database in MySQL

19:23
Understanding MySQL Interface

15:42
SELECT, UPDATE, DELETE, INSERT

29:03
Clauses in MYSQL Part-1

18:39
Clauses in MySQL Part-2

23:31
Clauses in MySQL Part-3
MySQL Data Handling Operations

41:21
MySQL Data Handling Operations-2

41:22
MySQL Aggregate Functions

Advanced MySQL[Self-Study]

Data Integrity & Referential Integrity
Data Normalisation
First & Second Normal Form
Functional Dependency & Transitive Dependency
Boyce Codd Normal Form
Denormalization
Temporary Tables, CTE, Recursive CTE
When to Use Temporary Table, CTE, Recursive CTE
SubQuery in MySQL
Views in MySQL
Stored Functions
Stored Procedures
Triggers in MySQL
Create Events
In-depth DDL Commands
Different Functions in MySQL

Mastering Excel[Self-Study]

Introduction to Excel
Basics of Excel Commands
Conditional Formatting in Excel
Different Calculations in Excel
Different Charts in Excel
Pivot Tables in Excel
Slicers in Excel
Filters in Excel
VlookUp, HLookup
Index & Match
Conditional Statements in Excel
SumIF & Count IF
Data Analysis Tool Kit
Forecasting in Excel
Correlation in Excel
Regression in Excel
What-If Analysis
Goal Seek
Data Tables
Scenario Manager
End-to-End Dashboard using Excel
Power Query in Excel

End-to-End Data Analysis using Power BI & MySQL

End-to-End Data Analytics using Excel

End-to-End Data Analytics using Tableau

Level

Expert
Last Updated

September 11, 2024
Certificate

Certificate of completion

How This Course Going To Help You?

Work as a Data Analyst Intern and Work on Real-Time Projects & Place them in Your Resume

Remote Internship on Data Analytics

Data Analytics Course + Remote Internship: The Perfect Blend for Your Career Growth!
Get Experience Certificate

Boost Your Resume: Data Analytics Course with Experience Certificate & Recommendation Letter!
Data Analytics with Business Skills

Master Data Analytics with a Focus on Business Acumen and Analytical Thinking!
Life Time Recording Access

Lifetime Access to Smartboard-Enhanced Data Analytics Course!
No.1 Syllabus on Data Analytics

Data Analytics Syllabus which covers Python, SQL, Applied Statistics, Excel, Forecasting, Power BI, Tableau & R Programming

Advanced KPI Identification

Learn How to Master KPIs from Data Analytics Business Use-case and Develop Professional Dashboard
Ace Your Interviews

Ace the Interview: Data Analytics Course with Focused Resume and Interview Coaching!
Live Doubt Clarification Classes

Data Analytics Interactive Q & A with Data Analysts: Weekly 2-3 Live Sessions to Resolve Your Doubts and Enhance Learning
Live Weekday Classes[Mon-Fri]

Build Real-World Expertise with Interactive Weekday Live Classes by Data Science Managers
Course Designed for Everyone

Data Analytics for Everyone: Begin with Basics and Progress to Expert Level Mastery!

1-on-1 Call with Trainer

Kanth Worked as a Principal Data Scientist with proficiency in Machine learning, Deep Learning, Generative AI, and LLMs, with around 12+ years of involvement in conveying end-to-end project pipelines using AGILE CRISP, DataOps, Big Data Streaming Pipelines, and MLOps Pipelines
Kanth is an AI CoE and Six Sigma Certified. He is an AI Consultant for companies like Nokia, EY, Cognizant, BMW, DU Telecom etc. Kanth delivered AI Solutions using AI Software Stack.
Kanth has experience in delivering customized training on statistics, cloud computing, machine learning, deep learning, general AI, data engineering, data analytics, data science, and reinforcement learning.
Delivered Training Across Dubai, Malaysia, Singapore, South Africa, Sudan etc.
Helped various organisations to implement AI & Gen AI using AI Software Stack & made them achieve tremendous financial gains
Experience in Delivering 100+ pieces of training for working Data Scientists and AI Engineers to Upskill them for Future Projects.
Experience in delivering 50+ PMP Programs, ITIL Programs, Agile Programs, etc
India – EY, Infosys, TechMahindra, ExlSolutions, Suzlon, Wipro, TCS, CSC, HCL, HP, Deloitte, IIT-Bhubaneswar, KIIT –Bhubaneswar, R&D – Hyundai
Corporate training across different location like Dubai(Etisalat), Malaysia ( X-Fab), Canada(X-Axis), Singapore(DBS Bank)
Colleges – Nearly 400+ Colleges all over India

#1 Course Syllabus

Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition

Speak with Our Career Advisor

Your Hardwork + Our Roadmap + Real-Time Projects = 100% Career Transition

Do you want to Upskill your Employees?

we can do it together

WhatsApp Us, To Get Customized Learning Paths: +919121516181/+919347125815

BEPEC Solutions Pvt.Ltd. majorly a consulting and talent upskilling firm. We apply the right technology to solve business problems with the help of Analytics, AI, Cloud Computing, Edge AI, Explainable AI, ML, DL, RPA, e.t.c. across multiple verticals like BFSI, CPG, Retail, Healthcare, Manufacturing, Telecom, Insurance, e.t.c.

Data Analytics Interview Preparation Program

What You Will Learn In This Program: Just Start This Program with 3999/-

Data Analytics Interview Preparation Syllabus

Live Real-Time End-to-End Project Demonstrations[To Place in Resume]

Project-1: Star Schema Data Model using SQL & Data Retrieval

Project-2: Data Ingestion into Python, ETL in Python & Storing in Data Warehouse & Analysis in Power BI/Tableau

Project-3: KPI Identification, Dashboard Creation with KPIs & Dashboard Deployment with Automatic Data Refresh

Project-4: ETL, SnowFlake DataWareHouse & Power BI KPI Dashboard Project Pipeline with Deployment

Project-5: End-to-End Data Analytics Project using Python

Project-6: End-to-End Statistics & Forecasting Based Data Analytics Project Using Python

Internship Projects To Work & To Place in Resume

SQL Based Star Schema Project

Marketing Dashboard for BEPEC Client

Demand Forecasting Dashboard for BEPEC

Price Optimization Dashboard for BEPEC Client

Customer Propensity Dashboard for BEPEC Client

Cashflow Forecasting Dashboard for BEPEC Client

Yield Estimation Dashboard for BEPEC Client

Topic Wise Interview Preparation of Data Analytics

Power Query Based Interview Questions & Answers

DaX Power BI Coding Questions with Answers

SQL Coding Interview Questions and Answers

Python Interview Coding Questions and Answers

Tableau Interview Questions and Answers

Scenario Based Questions and Answers for Data Analytics

Resume, Mock Interview, Documents, Certificates & Job Portal Optimisation

Data Analytics Resume Optimization to Increase your Interview Calls

LinkedIn & Job Portal Optimization To Increase Interview Calls

Mock Interview: How To Introduce about your self?

Mock Interview: How to Explain your Project End-to-End?

How to explain Notice period, Documentation, Certificates, e.t.c

Applied Statistics[Self-Study] Statistics is very important for Data Analyst & Data Scientist job positions. We will be discussing Applied Statistics and How we use them in Real-time with proper Pros and Cons behind every Statistics Topic with Mindmap Driven Approach.

What is Data, What is Random Variable, Types of Data?

Probability Distributions and Normal Distribution

Introduction to Statistics

Properties of Data

Sample vs Population

Types of Sampling Techniques

What is EDA

Analysing Data using EDA with Excel

Measures of Dispersion

Skewness & Normality

Correlation & Scatterplot

Barplot & Lineplot

Revision of Topics

Box & Whisker Plot

Outlier Identification

Treating Outliers

Types of Analytics

Statistical Analysis Consideration

Introduction to Inferential Statistics

Law of Large Numbers

Central Limit Theorem

Probability Distributions

Conditional Probability

Continuous Probability Distribution & Discrete Probability Distribution

PMF, CDF, PDF, PPF in Probability

Binomial Distribution

Poisson Distribution

Normal Distribution

Exponential Distribution

Laplace Distribution

Log-Normal Distribution

Standard Error

Confidence Interval Calculations

Z-Table for Confidence Interval

T-Table for Confidence Interval

Hypothesis Testing

Null & Alternate Hypothesis

Type-1 Error & Type-2 Error

2-Sample T Test

ANOVA Test

p-Value Calculations

Chi-Square Test

Project Demonstration using all the Statistical Techniques

Tableau Data Analysis[Self-Study]

Introduction to Tableau

Basics of Tableau

Different Types of Charts in Tableau

Table Calculations & Parameters

Applied Statistics[Self-Study]
Statistics is very important for Data Analyst & Data Scientist job positions. We will be discussing Applied Statistics and How we use them in Real-time with proper Pros and Cons behind every Statistics Topic with Mindmap Driven Approach.