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Advances Certification Program in Data Science

Tailored for both beginners and experienced professionals, our comprehensive Data Science program offers the perfect blend of hands-on practice and industry-relevant knowledge. Dive into the world of data analysis, machine learning, and artificial intelligence, mastering tools and technologies like Python, R, SQL, and TensorFlow.
This course will guide you through the entire data science pipeline—from data cleaning and visualization to building predictive models and deploying them effectively. Gain experience working on real-world datasets, learn to use advanced statistical techniques, and become proficient in cloud-based data handling.

1. 6 Months of Comprehensive Learning
2. 100+ hrs of Live Classes
3. 15 Modules Covered
4. 20 + Frameworks
5. 20 Career Assistance Session
6. 1:1 Support & Guidance
7. 1:1 Project Feedback
8. 1 Dedicated Career Coach
Course Content

MODULE 1

  • Introduction to Excel

  • Fundamentals of Excel

  • Data Exploration with In-Build Function

  • Basic Visualisation Analytics

  • Charts and Graphs

  • Functions

  • Look Up

  • Vlookup, Index, Hlookup

  • Date Functions and Time

  • Data Tables and Validation

  • Pivot Table

  • Financial Functions

  • Micros & Coding

  • Custom Formatting and Advance Filters

  • Storytelling with Excel

  • Basics of Dashboarding

  • Creating Advance Dashboard

  • Introduction to Databases & Queries

  • Extracting Data using SQl

  • Setting Up Big Queries

  • Function Filtering & Sub-Queries

  • Join Sub Queries

  • Aggregation

  • Date & Time Functions

  • Indexing & Partitioning

  • Probability

  • Bayes Theorem

  • Rendering lists

  • Distribution

  • Discriptive Statistics & Outliers Treatment

  • Hypothesis Testing & AB Testing

  • ANOBA

  • Correlation

  • Introduction Power BI

  • Cleaning, Transforming, & Loading Data

  • Designing a Data Model

  • Visualisation

  • Introduction to DEX

  • Dashboarding

  • Generating Reports

  • Case Studies

  • Programming Foundation- Flowchart, Data Types & Operators

  • Condition & Loops

  • Functions

  • Sting Handling

  • Data Structures- List, Tuple, Dictionary, Set, Matrix

  • Oops

  • Numpy

  • Pandas

  • Data Acquisition

  • Web Scraping

  • Beautifulsoup

  • Selenium

  • Matplotlib

  • Seaborn

  • Visualisation using Charts & Graphs

  • Regression

  • Amazon EC2 and Amazon EBS

  • Classification

  • Desision Trees

  • Random Forest

  • Clustering

  • DB SCAN

  • EDA

  • Feature Engineering

  • Model Building

  • Model Tuning

  • Big Data Fundamentals

  • Data Warehousing using Hive

  • Apache Spark

  • Big Data in the Cloud (AWS)

  • NoSQL Databases

  • Flask

  • Introduction to Docker & Containerisation

  • ML Flow

  • Big Data in the Cloud (AWS)

  • CI/CD

  • AWS ML Operations

  • Nueral Networks

  • Tensorflow

  • Keras

  • Forward and Backward Propagation

  • Hyperparamenter Tuning

  • Tensor Board

  • Convolutional Nureal Networks

  • Data Augmentation

  • Hyperparamenter Tuning and Propogation

  • CNN Architecture- Alex, VGG, Inception, etc

  • Object Segmentation, Localisation & Ditection

  • GANs

  • Text Preprocessing

  • Regular Expressions

  • Semantic Processing

  • Introduction to Deep NLPp>

  • Co-occurence Matrix

Rs-79,999

Level

Beginner to Advanced

Duration

6 Months

Enrolled

350+ Student

Language

English/Hindi

Certificate

Yes

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