APG Learning Course Page

Data Analyst Bootcamp

Go further to boost your skills and gain an opportunity for a profitable career in Data Science

Data Analyst Bootcamp

Go further to boost your skills and gain an opportunity for a profitable career in Data Science

Duration

12 Weeks | 90 Days

Mode of Delivery

Online Live / Self-Paced

Fees

Rs 51,000/- Plus GST

Courses Start Date

10th October 2022

Duration

12 Weeks | 90 Days

Mode of Delivery

Online Live / Self-Paced

Fees

Rs 51,000/- Plus GST

Courses Start Date

10th October 2022

Programme Overview

APG Learning has been working towards up-skilling of professionals and farmers through various short and long-term courses. APG Learning has offered 250+ courses in various areas that cover technical skills, forward linkage opportunities, backward linkages, entrepreneurship and exports. At APG Learning, we run some of the most in-demand employability-related courses in the fields of technology, agriculture, management, and allied subjects.

Learn everything about Data Analytics from beginners to advanced topics in this courseware. You will be provided with expert level readiness to solve industry problems using Data Analytics. Be a part of this versatile data analytics Bootcamp Program to experience live assignments, quizzes, group projects, kaggle competitions.

CAMP stands for Content Assignments Masterclass Projects completely contributed by the industry.
CONTENT

Our training content is contributed and vetted by industry leaders. You are readily equipped with the latest industry tools. Case studies and applications on trending topics

ASSIGNMENTS

You will get access to various current (‘as-is’) problems faced by the industry. This will provide contemporary industry exposure as part of the curriculum

PROJECTS

Industry always plans for future on innovative products and services to stay competitive in the market. You will havefirst-hand experience as an extended resource on various forecasted projects.

MASTERCLASS

Intuitive and interactive live sessions by eminent industry experts.

How will you benefit

Brush-up the prerequisites to learn AI.(Maths, Stats, Python, Optimization)
Understand all the concepts of exploratory Data Analysis, Data wrangling, Feature Engineering, Data Visualization and storytelling.
Apply these concepts with the latest tools, platform to build end to end models and solutions in predictive analytics and prescriptive analytics.
Through Design thinking apply your new skills to solve case studies across verticals.
Manage the change involved in shifting toward an Modern Analytics driven organization
On successful completion of Data Analyst Bootcamp will make students eligible to become an Azure/Google/AWS Certified AI Engineer.

How will you benefit

Brush-up the prerequisites to learn AI.(Maths, Stats, Python, Optimization)

Understand all the concepts of exploratory Data Analysis, Data wrangling, Feature Engineering, Data Visualization and storytelling.

Apply these concepts with the latest tools, platform to build end to end models and solutions in predictive analytics and prescriptive analytics.

Through Design thinking apply your new skills to solve case studies across verticals.

Manage the change involved in shifting toward an Modern Analytics driven organization

On successful completion of Data Analyst Bootcamp will make students eligible to become an Azure/Google/AWS Certified AI Engineer.

Journey of Student

Start your journey with APG Learning as a novice in the field of artificial intelligence & machine learning and end your career as an industry-certified expert. Learn from expert practitioners in Data Science with experience from Amazon, Flipkart, etc. Join the best industry-centric AI program offered by APG Learning with world class pedagogy!

Data Science
Preparatory
Bootcamp

Data Analyst
Bootcamp

Data Engineer
Bootcamp

Data Scientist
Bootcamp

Data Science
Preparatory Bootcamp

Data Analyst
Bootcamp

Data Engineer
Bootcamp

Data Scientist
Bootcamp

Build innovative AI applications with the strong foundation of our course and become an in-demand AI professional.

Build innovative AI applications with the strong foundation of our course and become an in-demand AI professional.

Why apg learning

It is no secret that the demands of the workplace are changing every day. Whether it’s adapting to a remote or offline setting, building more diverse, equitable, or finding a new way to enhance productivity, working in a state of constant flux is now accepted and expected. To excel in the new-age corporate setup, the necessity for new recruits to showcase multi-disciplinary skills is a need of the hour. With the constant evolution of industry requirements, training content, faculty, and infrastructure; that does not meet the expected needs, and hence industries talk about ‘Lack of Talent.’ This gap in lack of quality training and ever changing industry requirements directly affects the productivity of recruits and professionals. To solve this problem, we at APG Learning have established an industry-centric training formula called CAMP.

Course Curriculum

Fundamentals of Artificial Intelligence

Statistics and Probability for Data Scientists
Pre-Requisites  |  05 Hours
Python Programming Language
Pre-Requisites  |  05 Hours
Exploratory Data Analysis & Feature Engineering
  • Data Exploration And Preprocessing
Main Program   |   12 + 12 Hrs
Data Wrangling
  • INTRO TO DATA WRANGLING
  • GATHERING DATA
  • ASSESSING DATA
  • CLEANING DATA
Main Program   |   10 + 10 Hrs
Introduction to Machine Learning & Time Series Forecasting
  • Learning from Data
  • Time Series Forecasting
  • Introduction to Bayesian Learning
Main Program    |    10 + 10 Hrs
Data Visualization
  • Data formatting and analysis for data graphics
  • Creation of data graphic
  • Refinement of data graphics
  • Data visualization case studies and examples
Main Program    |  10 + 10 Hrs
Industry Projects
  • Network Intrusion detection
  • Weather Forecasting
  • Image Classification
  • Predictive Text Generation
  • Loan Prediction
  • Election Prediction
Case Studies

Assessment Exam, Project Submission

Python, R, Tableau, Jupyter, Anaconda
Tools & Platform
Theory + Lab    |   Covered in the Labs
Numpy, Pandas
Python Libraries
Theory + Lab    |   Covered in the Labs

Course Curriculum

Fundamentals of Artificial Intelligence Duration
Pre- Requisites
Statistics and Probability for Data Scientists
05 Hours
Python Programming Language
05 Hours
Main Program

Advanced Python for Data Analysis

  • Tableau for Data Analysis
  • Case studies on Advanced Python for Data Analysis
10+10 Hrs

Exploratory Data Analysis & Feature Engineering

  • Data Exploration And Preprocessing
  • Case studies on Exploratory Data Analysis & Feature Engineering
05+05 Hrs

Data Preparation

  • SQL & No SQL
  • Basics of ETL
  • Refinement of data graphic
  • Big Data with Hadoop
  • Big Data with Spark
  • Case Studies on Data Preparation
10+10 Hrs

Data Wrangling

  • Intro to Data Wrangling
  • Gathering Data
  • Assessing Data
  • Cleaning Data
  • Case studies on Data Wrangling
05+05 Hrs

Introduction to Machine Learning & Time Series Forecasting

  • Learning from Data
  • Time Series Forecasting
  • Introduction to Bayesian Learning
  • Case studies on Machine Learning & Time Series Forecasting
05+05 Hrs

Data Visualization

  • Data formatting and analysis for data graphics
  • Creation of data graphics
  • Refinement of data graphic
  • Case studies on Data Visualization 
05+05Hrs
Assessment Exam, Project Submission Theory + Lab
Tools & Platform
Python, R, Tableau, Jupyter, Anaconda
Covered in the Labs
Python Libraries
Numpy, Pandas

Assessment Exam, Project Submission

Industry Projects

Tools

How to apply

Eligibility Criteria

Should have basic knowledge of Python Programming language, AI, ML and Mathematics.

Pre-Requisite

Participants should have invested the mentioned number of hours into the pre-requisites before joining the program. A prior assessment test will conducted to validate the student’s eligibility criteria.

Admission Process

  • Step 1 – Participants click on Apply Now.
  • Step 2 – Participants will have to fill the online application form, and submit the signed form.

FAQs

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