Deep Dive in Data Science AI & ML

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Join Booming Data
Analytics Industry

SkillEnable focuses on developing you as the prime target of recruiters by developing interpersonal and interview skills along with regular curriculum.

Become a Target Hire

SkillEnable focuses on developing you as the prime target of recruiters by developing interpersonal and interview skills along with a regular curriculum.

Industry Relevant Tools

Get hands-on learning experience of various relevant industry tools and also practice real-life cases studies and Capstone projects using the Latest Data Science tools.

Tailor-made Curriculum

Individual candidate focused curriculum and soft skill enhancement.

Who is it for?

Graduates/Postgraduates/Final year students from the field of Computer Science, Engineering, Economics, Statistics & Mathematics.
Should bear necessary soft skills or interpersonal qualities. Working professionals are also preferred from the above-mentioned streams
Candidates who want to take on real-world data challenges and gain a comprehensive understanding of Data Science.

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Sorting, Filtering
Pivots, Lookup function
Conditional Formatting
Logical Operators and Functions
Data Validation
Text Functions
Dashboard
Case Study

Week 1-3

Task Automation (Macro)
Logic, Statement, Loop Creating user-defined functions
Creating a user interface using form controls
Creating Dashboards

Week 4-6

SQL Queries and Relational Database Management
Relational Database Fundamentals
DDL
DCL
DQL
DML
Merging
Joining Sorting
Indexing
Creating Database models
Case Study

Week 7-9

Tableau Basics
Working with Sorting & Filters
Creating dual-axis and combo charts
Table Calculation and logical calculation
Creating interactive dashboards
Advanced charts
Drilling Up/Down using Hierarchies
Grouping
Building dashboards
Data Interpreter
Case Study

Week 10-12

Data Handling
Overview of Analytics & Statistics
String and Character Functions
Linear and Logistics
Regression in R
Clustering concept & Case Studies
Featuring Engineering and Dimension
Reduction
Decision Trees
Statistical Concepts and Forecasting (Predictive Analysis)

Week 13-15

Data Visualisation in Python
Linear Regression
Discriminative Statistical Model
Time Series, Decision Trees
Instance-based learning
Ensembles, Neural Networks
Clustering
Support Vector Machines
Model Selection and Advanced Regression
Deep Learning and Neural Networks and TensorFlow

Week 16-18

Case Studies
Capstone Projects

Week 19-21

Resume building
Email etiquette
Telephone etiquette
Linkedin profile building
GitHub profile making
Mock Interviews

Week 21-24

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Course Details

Unbeaten Salary

Data Science is the fuel of the 21st Century. The demand for data scientists is high, making it a lucrative career option.

Rising Demand

With ever-evolving consumption patterns and changing market scenarios - Companies are rapidly putting AI and ML at the core of their business and processes.

Top Skill

According to LinkedIn In 2020, Analytical, Data-Driven Skills like Artificial Intelligence reign supreme.

Evolving Discipline

Increasing use of Data Science in areas of Healthcare, Education, Agribusiness industries creates a huge demand for Data Scientists.

Why Data Science Training?

Top Companies that Hire From Us!

SkillEnable has 500+ Hiring partners who have hired our students for roles like Business Analyst, Data Analyst, Data Scientist, Data Associate, Python & ML Expert, Subject Matter Expert in Data Science, Product Managers, Junior Manager, Financial Analyst & Quality Analyst.