Trainings

Data Science and Data Analytics

This DSDA training has been designed keeping in mind the importance of Data Science in today’s industrial field. Through this training, anyone can master their skills in this particular domain even by starting from the very beginner’s level. From learning the very basics of python to making your very own Machine Learning prototype, this course will provide you will all the steps of climbing your way up to the competition.Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib and Seaborn, Advanced Statistical Analysis, Tableau, Machine learning with stats models and scikit-learn, Deep learning with TensorFlow. Impress interviewers by showing an understanding of Data Science field.

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 Level

Beginner To Advanced

 Duration

3 Months + 2 weeks

 Teaching Mode

Live Online Classes

 Highlights of this training

  •  Online Live Classes
  •  Theory and Practical
  •  Hands-on Learning
  •  Assignments
  •  Doubt Clearing
  •  Exams
  •  Projects
  •  Certifications
  •  Hackathon
  •  Iternship Opportunity
  Download Brochure

Available Batch Slots

BATCH-1

Starts from 26 SEPT | Saturday - 10:00 am to 1:00 pm (IST)

BATCH-2

Starts from 30 SEPT | Wednesday - 2:00 pm to 5:00 pm (IST)

  Limited Seats Available. Enroll Now

₹3600

₹18000

-80% discount on Marked Price.

 SUPER EARLY BIRD DISCOUNT

Get extra 1000 off ₹3600  ₹2600

  Offer valid upto 18th of September

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Training Overview

  • Learn how to pre – process data. Understand the mathematics behind Machine learning (an absolute must which other courses don’t teach!)

  • Start coding in Python and learn how to use it for Statistical analysis.

  • Perform linear and logistics regression in Python. Carry out cluster and factor analysis

  • Be able to create Machine learning algorithms in Python using NumPy, statsmodels and scikit-learn. Apply your skills to real - life business cases.

  • Use state–of–the–art Deep learning frameworks such as Google’s TensorFlow. Develop a business intuition while coding and solving tasks with big data.

  • Unfold the power of Deep Neural Networks. Improve Machine learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing and how hyperparameters could improve performance.

  • Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations.

  Python

  NumPy

  TensorFlow

  Deep Learning

  Neural Networks

Who should enroll for this training ?

Any student, who is enthusiastic about Data Science and Data Analytics can enroll in this training. The students are not required to have to be pro at any programming language for enrolling. Both novice and expert can take up this training. The only requisite is the attitude to learn and gain a better understanding of whatever is being taught to them.

Reasons for you to take this training

This training will impart knowledge on an in-demand skill, in which one can pursue a career later on. With Learnbird training -

  • One can properly learn by doing assignments and handling real-life data sets.
  • Doubt-clearing sessions are provided, in case any student faces any problem.
  • After completing this training, an examination will be conducted.
  • Certifications will also be given for completion of the learning process.
  • Insights gained from this training will help the students to build a real life project.
  • Students might appear for the Hackathon programme if they want.
  • Top performers will be given the opportunity to do an internship with Learnbird Innivative Solutions ©.

Bringing to you a Curriculum designed by Professionals

 Taught by Industry Experts

Curriculum

  •  Lesson 1: Learn to program in python at a good level

  •  Lesson 2 – Learn how to code in Jupiter Notebooks

  •  Lesson 3 – Learn the core principles of programming

  •  Lesson 4 – Learn how to create variables

  •  Lesson 5 – Learn about integer, float, string and other types in Python.

  •  Lesson 6 – Learn how to create a while loop and a for loop in Python.

  •  Lesson 7 – Learn how to install packages in Python.

  •  Lesson 8 – Understand the law of large numbers.

  •  Lesson 9 – Understand the fundamentals of statistics

  •  Lesson 10 – Learn how to work with different types of data

  •  Lesson 11 – How to plot different types of data

  •  Lesson 12 – Calculate the measures of central tendency, asymmetry and variability

  •  Lesson 13 – Calculate correlation and covariance

  •  Lesson 14 – Distinguish and work with different types of distributions

  •  Lesson 15 – Estimate confidence intervals

  •  Lesson 16 – Perform hypothesis testing

  •  Lesson 17 – Make data driven decisions

  •  Lesson 18 – Understand the mechanics of regression analysis

  •  Lesson 19 – Carry out regression analysis

  •  Lesson 20 – Use and understand dummy variables

  •  Lesson 21 – Understand the concepts needed for Data Science even with Python & R

  •  Lesson 22 – Install Tableau Desktop 2020

  •  Lesson 23 – Connect Tableau to various Datasets: Excel and CSV files

  •  Lesson 24 – Create Bar charts

  •  Lesson 25 – Create Area charts

  •  Lesson 26 – Create Maps

  •  Lesson 27 – Create Scatterplots

  •  Lesson 28 – Create Pie charts

  •  Lesson 29 – Create Tree maps

  •  Lesson 30 – Create Interactive Dashboards

  •  Lesson 31 – Create Storylines

  •  Lesson 32 – Understand types of joins and how they work

  •  Lesson 33 – Work with blending data in Tableau

  •  Lesson 34 – Create Table calculations

  •  Lesson 35 – Work with Parameters

  •  Lesson 36 – Create Dual Axis Charts

  •  Lesson 37 – Create calculated fields

  •  Lesson 38 – Create calculated fields in a blend

  •  Lesson 39 – Export results from Tableau into PowerPoint, Word & other software

  •  Lesson 40 – Work with Timeseries data (two methods)

  •  Lesson 41 – Creating Data Extracts in Tableau

  •  Lesson 42 – Understanding Aggregation, Granularity and level of detail

  •  Lesson 43 – Adding Filters and Quick Filters

  •  Lesson 44 – Creating Data Hierarchies

  •  Lesson 45 – Adding Actions to Dashboards (filters & highlighting)

  •  Lesson 46 – Assigning Geographical roles to Data Elements

  •  Lesson 47 – Advanced Data Preparation (including latest updates in Tableau).

  •   Certificate of Completion

2 Weeks Hands on Project

Candidates take up 2-week application based hands-on project to apply their learning to real-life business problems.

Our industry expert will provide all kinds of guides and assistance during the work of this project.

Hackathon & Internship

After completion of this training, the students are required to appear for the final examination.

Based on the results, the performers will be provided with the certifications and will eventually be eligible for Hackathon.

Students might not appear for Hackathon as it is not mandatory.

The top performers of Hackathon will be provided with the opportunity to do an internship with Learnbird Innovative Solutions © based on this domain.

Certificates

certificate preview

Training Completion Certificate

Upon successful completion of the training Program, you will receive a Training Completion Certificate from Learnbird Labs in the Data Science & Data Analytics training program. This certificates will testify to your skills as an expert in data analysis.

certificate preview

Industry Recognized Certificate

Upon training completion, you will also receive an industry-recognized Certificate from Learnbird Innovative Solutions ©. This certificates will testify your project experience and the name of the project you have completed through this training program.

certificate preview

Internship Certificate

A Hackathon program will be held there after the project is completed. The top performers of Hackathon will be provided with the opportunity to do an 1 month internship with Learnbird Innovative Solutions © based on this domain. The intern will be awarded certificates and stipends based on their performance.

Subhajit Ghosh

"Data" is the catalyst of any real world obstruction, and "analytics" is its catalyzed reaction.

CEO & Founder

Koushik Parui

We have used data analytics previously to analyze student habits. It's amazing how data helps us in understanding situation by real time proof rather than just guessing along.

COO & Founder

Soumya Ghatak

Data will be the oil for businesses in 21st century,, and Analytics will be the combustion, So Let's nurture data together, and do something big using big data as legend said "sooner is better"

Data Science Expert

Time is running out. Don't miss this opportunity. Start your Data Science Journey.

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