Data Analytics Program with
Portfolio Development & Get Internship Certificate

Learn while doing on Python, SQL, Power BI, Excel,
Tableau, SnowFlake, Fabric and Statistics

#1 Hands-On Agenda with Data Analytics Projects
Which Gets You Hired!

Real-Time End-to-End Data Analytic Project Pipelines

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

Introduction to Data Analytics, Data Science, AI & ML

Applied Statistics
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

Mastering Python[Zero to Hero]

Introduction to Python

01:02:54
Python Arithmetic Operators & Data Structures

01:04:10
Variables, Values, Data Types, Int in Python

01:01:53
List, Tuple, Set & Dict Commands in Python

57:16
Different List Methods

55:48
Different Tuple Methods

01:04:52
Different Set Methods

01:00:50
Different Dictionary & String Manipulations

50:56
Overview on Loops, IF, USD Functions, Escape Sequences, Lambda, Regular Exp

01:03:15
IF Statement, Types of Operators, Lambda, Python Modules

23:41
Loops, Break, Continue, Different Arguments

01:01:18
Functions, Escape Sequence & Lambda

52:23
Hackathon-1

54:32
Introduction to OOPS, POP vs OOP

16:16
Deep Dive into OOPS

56:53
Association, Composition, Polymorphism

50:02
OOPS Concept

36:29
Inheritance-Single, Multilevel, Hierarchical, Multiple, Encapsulation, Abstraction, Polymorphism [Brief] Basics

01:07:07
Encapsulation, Inheritance, Method Overriding, Method Overloading

53:59
Introduction to Pandas

01:05:22
Data Analysis with Pandas

01:34:29
Introduction to Numpy

57:26
Deep Into Numpy

01:03:00
Introduction to Data Visualisation

51:41
Matplotlib Deep Dive

01:00:20
Seaborn Commands

59:34
Plotly Data Visualisation

41:44
Why data Cleaning? Explanation with examples

47:05
Data Cleaning with Pandas

49:57
Regular Expression Basics

54:01

Tableau Data Analysis

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[Zero to Hero]

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

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

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

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

Course Files

Contact us

Learners

28 +

Data Analytics Tools

0 +

Max Recorded Salary

Years in Upskilling

1 +

Live Webinar: End-To-End Data Analytics Project Using Python, Snowflake, Power BI, Fabric

22nd April, 2025

Free Webinar on End-To-End Data Analytics Project Demonstration

Timing: 8.00 PM - 10:30 PM (IST)

WhatsApp us For Zoom Link

Days

Hours

Minutes

Seconds

Our Hiring Partners

💯 1-on-1 Mock Interviews & Resume Shortlisting

How To Get My Resume Shortlisted?

After completing the Data analytics Internship at BEPEC, Mentor Kanth(1-on-1 Mentorship) will help you with Data Analytics roles and responsibilities, technical skills, projects, crafting ATS-friendly job titles, and optimizing your LinkedIn profile and job portals. This guidance will ensure your resume get shortlisted in the job market.

How To Get Data Analytics Mock Interviews?

Kanth will conduct 1-on-1 mock interviews covering Data Analytics, Power BI, SQL & Python Coding Questions to help you identify areas for improvement before your actual interviews. He will also teach you how to use the STAR method, enhancing your communication and persuasion skills for confidently explaining your experience and expertise.

How To Build Experience on Data Analytics? (As No Jobs for Freshers)

BEPEC’s job-focused learning program allows you to gain hands-on experience by working on real-time projects. Upon completion, you’ll receive an internship certificate, which can significantly enhance your chances of entering the Data Analytics Job Market.

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1-on-1 Call with Trainer
Share your Queries, Challenges & Get Detailed Roadmap
Customised Roadmap
Start the Training with Customised Roadmap with Live/Holistic/Hybrid Learning

Job-Focused Live Classes Starts From

Next Live Classes Starts from 5th May

Data Analytics Skill-To-Job Transition Program

WhatsApp Us!

Course	Live Class Timing	Batch Start Date
Full Stack Data Science Career Transition Program with Internship	Live Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings	1746475200 5th May 2025 - 18th November 2025
Full Stack Data Analytics Career Transition Program with Internship	Live Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings	1746475200 5th May 2025 - 31st August 2025
Artificial Intelligence Course: Job Transition with Internship	Live Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings	1746648000 7th May 2025 - 5th January 2026
Data Engineer Career Transition Program with Internship	Live Weekday Classes with Doubt Classes & Life-Time Access For Live-Class Recordings	1747080000 12th May 2025 - 1st September 2025

Data Analytics CT Program - Learning Modes

April Batch

May Batch

Registration Closed! Please Join Our May 2025 Batch

Registrations Open!

₹4999Excl. GST

150+ Hours of Holistic Learning Content
5+ Project Use-Cases
Life-Time Live Doubt-Solving Access
Life-Time Recording Access
Internship Certificate
3 Months Live Classes
2 Months Remote Internship

₹12999Excl. GST

150+ Hours of Holistic Learning Content
40 Hours of Trainer Led Live Classes
2 Months Remote Internship
7+ End-to-End Real-Time Project Pipelines using AWS, Azure, Snowflake
10+ Capstone Projects
15+ Industry Case-Studies
100+ Guided Hands-On Exercises
25+ Assignments and Mini Projects
1-on-1 Interview Mentorship with Kanth
Resume Building, Cover Letter & ATS Score Optimization
Mock Interviews with Kanth
Life-Time live Doubt Classes Access
Life-Time Recording Access
Internship Certificate

₹21499Excl. GST

150+ Hours of Holistic Learning Content
3.5Months Trainer Led Live Classes
2 Months Remote Internship
7+ End-to-End Real-Time Project Pipelines using AWS, Azure, Snowflake
10+ Capstone Projects
15+ Industry Case-Studies
100+ Guided Hands-On Exercises
25+ Assignments and Mini Projects
1-on-1 Interview Mentorship with Kanth
Resume Building, Cover Letter & ATS Score Optimization
Mock Interviews with Kanth
Life-Time live Doubt Classes Access
Life-Time Recording Access
Internship Certificate

Why to Join BEPEC?

At BEPEC, we offer personalized guidance and practical experience to help you achieve your career goals. Here’s how we can support your journey:

Personalized Career Guidance: Tailored career transition plans with mentorship from industry experts.
1-Month Remote Internship: Gain hands-on experience from the comfort of your home.
Real-Time Projects: Work on 5+ real-time projects using AWS and Snowflake.
Capstone Projects & Case Studies: 5+ capstone projects and 10+ industry case studies for real-world insights.
1-on-1 Interview Coaching: Personalized mentorship and mock interviews with Kanth.
Resume & ATS Optimization: Build a standout resume and cover letter.
Lifetime Access: Enjoy lifetime access to live doubt sessions and recorded classes.
Internship Certificate: Validate your experience with a recognized certificate.

Book 1-on-1 Call & Get Customised Roadmap

Fill Out The Form, To Get Career Transition Strategy

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🤝✅ Experienced, Managers, Freshers &
Career Gap, Joining BEPEC?

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, DSA, SQL, Applied Statistics, Excel, Forecasting, Power BI, Tableau, Snowflake & Fabric

Advanced Data Structures & Algorithms

From Basics to Advanced: Explore Data Structures & Algorithms in Our Data Analytics Course!
Ace Your Interviews

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

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
Course Designed for Everyone

Data Analytics for Everyone: For Freshers, Students, Working Professionals looking for Salary Hike and Career Gap to Resume their Career.

3 Steps for Successful Career Transition

We Will Help You Every Step Of The Way

01

Get Detailed understanding about Job-Ready "T" Skillset

02

Develop Confidence on Job-Ready Skillset by Implementing them on Real-Time Projects with BEPEC Internship

03

Market Your Skillset and Projects using right Roles & Responsibilities and Projects

What People Say About Us

Client Testimonials

I had a great experience with BEPEC Solutions during my career transition. Their team provided clear guidance and personalized support, making the process smooth and stress-free. The career coaches are knowledgeable and genuinely care about their clients' success. Thanks to their resume and interview prep, I landed a job that aligns with my goals. I highly recommend BEPEC Solutions to anyone looking for professional growth and a seamless career change.

Sharun

Hi, I feel grateful to be a student of BEPEC. This is genuine and I would say most budget friendly institution to go for any course! Talking about learnings, 5/5. KANT SIR's teaching and patience is just so good to deal with each student. You get the recordings as well. Thanks for the amazing coaching!!

Shaily Srivastava

I have enrolled for the Data Science Career Transition Program through Bepec Kanth explains how to apply all the concepts in real world. Along with developing domain knowledge he is also helping to enhance our professional skills to face real world challenges as data scientist... What ? Why? Where ?.....3 words most important

SREE SAI KONDLE

We Make Successful Career Transitions!

WhatsApp Us, To Get Customized Learning Paths: +919121516181/+919644466222

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 Program with Portfolio Development & Get Internship Certificate

Learn while doing on Python, SQL, Power BI, Excel, Tableau, SnowFlake, Fabric and Statistics

#1 Hands-On Agenda with Data Analytics Projects Which Gets You Hired!

Real-Time End-to-End Data Analytic Project Pipelines

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

Introduction to Data Analytics, Data Science, AI & ML

What is Data Analytics, Data Science, AI & ML

Interview Preparation Roadmap on Data Analytics, Data Science, AI & ML

Applied Statistics 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

Mastering Python[Zero to Hero]

Introduction to Python

Python Arithmetic Operators & Data Structures

Variables, Values, Data Types, Int in Python

List, Tuple, Set & Dict Commands in Python

Different List Methods

Different Tuple Methods

Different Set Methods

Different Dictionary & String Manipulations

Overview on Loops, IF, USD Functions, Escape Sequences, Lambda, Regular Exp

IF Statement, Types of Operators, Lambda, Python Modules

Loops, Break, Continue, Different Arguments

Functions, Escape Sequence & Lambda

Hackathon-1

Introduction to OOPS, POP vs OOP

Deep Dive into OOPS

Association, Composition, Polymorphism

OOPS Concept

Inheritance-Single, Multilevel, Hierarchical, Multiple, Encapsulation, Abstraction, Polymorphism [Brief] Basics

Encapsulation, Inheritance, Method Overriding, Method Overloading

Introduction to Pandas

Data Analysis with Pandas

Introduction to Numpy

Data Analytics Program with
Portfolio Development & Get Internship Certificate

Learn while doing on Python, SQL, Power BI, Excel,
Tableau, SnowFlake, Fabric and Statistics

#1 Hands-On Agenda with Data Analytics Projects
Which Gets You Hired!

Applied Statistics
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.