4-in-1 Bundle overlaying the 4 important matters for an information scientist – SQL, Tableau, Machine & Deep Studying utilizing Python
What you’ll be taught
Develop a robust basis in SQL and perceive use SQL queries to govern and retrieve knowledge from a database.
Discover the options of Tableau and be taught to create interactive visualizations to successfully talk insights to stakeholders.
Grasp the ideas of machine studying and be taught to implement numerous machine studying algorithms utilizing Python.
Uncover the fundamentals of Deep Studying and perceive construct and practice a deep neural community utilizing Keras and TensorFlow.
Discover methods for knowledge preprocessing and have engineering, together with dealing with lacking values and encoding categorical variables
Grasp the artwork of mannequin choice and analysis, together with methods for cross-validation, hyperparameter tuning, and overfitting prevention.
Uncover the rules of deep neural networks and be taught to construct and practice a convolutional neural community (CNN) for picture classification.
Discover switch studying and perceive fine-tune a pre-trained CNN to unravel an analogous drawback in a unique area.
Description
If you’re a curious learner trying to dive into the thrilling world of knowledge science, then this course is tailored for you! Do you need to grasp the important abilities required for a profitable profession in knowledge science? Are you desirous to develop experience in SQL, Tableau, Machine and Deep Studying utilizing Python? In case your reply is a convincing “sure,” then be part of us and embark on a journey in the direction of turning into an information scientist!
On this course, you’ll acquire a complete understanding of SQL, Tableau, Machine Studying, and Deep Studying utilizing Python. You’ll develop the mandatory abilities to research knowledge, visualize insights, construct predictive fashions, and derive actionable enterprise options. Listed here are some key advantages of this course:
- Develop mastery in SQL, Tableau, Machine & Deep Studying utilizing Python
- Construct sturdy foundations in knowledge evaluation, knowledge visualization, and knowledge modeling
- Purchase hands-on expertise in working with real-world datasets
- Achieve a deep understanding of the underlying ideas of Machine and Deep Studying
- Be taught to construct and practice your individual predictive fashions utilizing Python
Knowledge science is a quickly rising subject, and there’s a excessive demand for expert professionals who can analyze knowledge and supply invaluable insights. By studying SQL, Tableau, Machine & Deep Studying utilizing Python, you possibly can unlock a world of profession alternatives in knowledge science, AI, and analytics.
What’s coated on this course?
The evaluation of knowledge isn’t the primary crux of analytics. It’s the interpretation that helps present insights after the applying of analytical methods that makes analytics such an necessary self-discipline. We’ve got used the most well-liked analytics software program instruments that are SQL, Tableau and Python. This can assist the scholars who don’t have any prior coding background to be taught and implement Analytics and Machine Studying ideas to truly clear up real-world issues of Knowledge Science.
Let me provide you with a short overview of the course
- Half 1 – SQL for knowledge science
Within the first part, i.e. SQL for knowledge analytics, we might be educating you all the pieces in SQL that you’ll want for Knowledge evaluation in companies. We are going to begin with primary knowledge operations like making a desk, retrieving knowledge from a desk and so on. In a while, we’ll be taught superior matters like subqueries, Joins, knowledge aggregation, and sample matching.
- Half 2 – Knowledge visualization utilizing Tableau
On this part, you’ll discover ways to develop gorgeous dashboards, visualizations and insights that may will let you discover, analyze and talk your knowledge successfully. You’ll grasp key Tableau ideas comparable to knowledge mixing, calculations, and mapping. By the tip of this half, it is possible for you to to create participating visualizations that may allow you to make data-driven selections confidently.
- Half 3 – Machine Studying utilizing Python
On this half, we’ll first give a crash course in python to get you began with this programming language. Then we’ll discover ways to preprocess and put together knowledge earlier than constructing a machine studying mannequin. As soon as the information is prepared, we’ll begin constructing completely different regression and classification fashions comparable to Linear and logistic regression, determination timber, KNN, random forests and so on.
- Half 4 – Deep Studying utilizing Python
Within the final half, you’ll discover ways to make neural networks to search out complicated patterns in knowledge and make predictive fashions. We will even be taught the ideas behind picture recognition fashions and construct a convolutional neural community for this goal.
All through the course, you’ll work on a number of actions comparable to:
- Constructing an SQL database and retrieving related knowledge from it
- Creating interactive dashboards utilizing Tableau
- Implementing numerous Machine Studying algorithms
- Constructing a Deep Studying mannequin utilizing Keras and TensorFlow
This course is exclusive as a result of it covers the 4 important matters for an information scientist, offering a complete studying expertise. You’ll be taught from business consultants who’ve hands-on expertise in knowledge science and have labored with real-world datasets.
What makes us certified to show you?
The course is taught by Abhishek (MBA – FMS Delhi, B. Tech – IIT Roorkee) and Pukhraj (MBA – IIM Ahmedabad, B. Tech – IIT Roorkee). As managers within the International Analytics Consulting agency, we’ve helped companies clear up their enterprise issues utilizing Analytics and we’ve used our expertise to incorporate the sensible elements of enterprise analytics on this course. We’ve got in-hand expertise in Enterprise Evaluation.
We’re additionally the creators of among the hottest on-line programs – with over 1,200,000 enrollments and hundreds of 5-star critiques like these ones:
This is excellent, i really like the very fact the all rationalization given may be understood by a layman – Joshua
Thanks Writer for this glorious course. You’re the finest and this course is price any worth. – Daisy
Our Promise
Educating our college students is our job and we’re dedicated to it. You probably have any questions concerning the course content material, observe sheet, or something associated to any subject, you possibly can at all times submit a query within the course or ship us a direct message.
Don’t miss out on this chance to develop into an information scientist and unlock your full potential! Enroll now and begin your journey in the direction of a satisfying profession in knowledge science.
Content material
Introduction
Set up and getting began
Case Examine : Demo
Basic SQL statements
Restore and Again-up
Choice instructions: Filtering
Choice instructions: Ordering
Alias
Combination Instructions
Group By Instructions
Conditional Assertion
JOINS
Subqueries
Views and Indexes
String Capabilities
Mathematical Capabilities
Date-Time Capabilities
PATTERN (STRING) MATCHING
Window Capabilities
COALESCE perform
Knowledge Sort conversion capabilities
Consumer Entry Management Capabilities
Nail that Interview!
TABLEAU
Putting in and getting began
Combining knowledge to create Knowledge mannequin
Knowledge categorization in Tableau
Most used charts
Customizing charts utilizing Marks shelf
Different necessary charts
Grouping and Filtering knowledge
Map charts in Tableau
Calculation and Analytics
Units and Parameters
Dashboard and Story
Appendix
Machine Studying with Python
Organising Python and Jupyter pocket book
Fundamentals of statistics
Introduction to Machine Studying
Knowledge Preprocessing
Linear Regression
Introduction to the classification Fashions
Logistic Regression
Linear Discriminant Evaluation (LDA)
Okay Nearest neighbors classifier
Evaluating outcomes from 3 fashions
Easy Choice Bushes
Easy Classification Bushes
Ensemble method 1 – Bagging
Ensemble method 2 – Random Forests
Ensemble method 3 – Boosting
Introduction – Deep Studying
Neural Networks – Stacking cells to create community
ANN in Python
CNN Fundamentals
Creating CNN mannequin in Python
Venture: Creating CNN mannequin from scratch in Python
Venture : Knowledge Augmentation for avoiding overfitting
Switch Studying : Fundamentals
Congratulations & about your certificates
The post Grow to be a Knowledge Scientist: SQL, Tableau, ML & DL [4-in-1] appeared first on destinforeverything.com.
Please Wait 10 Sec After Clicking the "Enroll For Free" button.
