Data Science & BI Analytics PRO

Data science is a multidisciplinary combination of statistics, data inference, critical thinking & algorithms to solve complex problems involving huge quantities of data.

Intermediate 0(0 Ratings) 3 Students Enrolled
Created By Acl Academy Last Updated Fri, 01-Nov-2019 English
What Will I Learn?

Curriculum For This Course
84 Lessons 00:00:00 Hours
Advanced Excel
9 Lessons 00:00:00 Hours
  • Introduction
  • Filtering and Sorting
  • Graphs and Charts
  • Working with Pivot Table
  • Using Lookup Functions
  • Using Conditional Formating
  • Logical Operators
  • Using Text Functions
  • Introduction to Dashboard
  • Introduction to Database
  • Understanding database design
  • Introduction to SQL
  • Sub-setting, Pattern Matching
  • Grouping and Ordering
  • Joining in DBMS
  • Text Functions
  • Exist Statement and Correlated Sub-query
  • Creating and Manipulating DB with SQL
  • Introduction
  • Classification of data
  • Graphical Representation of Data
  • Univariate Descriptive Statistics
  • Bivariate Descriptive Statistics
  • Different type of Regression Models-Simple, Multiple, Logistic
  • Classical and Bayesian Probability Theory
  • Important Probability Distributions
  • Random Sampling
  • Testing and Estimation
  • Analysis of Variance
  • Time Series and Forecasting
  • Getting Started with R Environment
  • Basics of R Programming
  • Various apply() functions
  • String Manipulation
  • Working with Packages and Libraries
  • Data Mining
  • Summarization and Visualization of Data
  • Importing and Exporting data
  • Data Modelling using Regression & Tree models
  • Dimension Reduction Techniques
  • Introduction to Python
  • Getting familiar with Anaconda enviornment
  • Python data structures
  • Python programming fundamentals
  • Numerical modules: numpy & scipy
  • Data structuring & formatting with pandas
  • Accessing & using databases using python
  • Exploratory Data Analysis in Python
  • Data Wrangling & Munging
  • Regression Modelling using scikit-learn
  • Visualization with matplotlib & plotly
  • Working with Tree-based Modelling
  • Introduction to Machine Learning
  • Supervised vs Unsupervised vs Reinforcement Learning
  • Concepts of over-fitting & under-fitting, bias & variance
  • Machine Learning packages in Python
  • Supervised Learning: Regression Methods & Gradient Descent
  • Supervised Learning: Classification Methods
  • Supervised Learning: Random forest Model
  • Model Evaluation metrics
  • Logit function & Logistic Regression
  • Support Vector Classifier & Machines
  • Recommender Systems
  • Bayesian Learning, Naive Bayes & Bayesian Belief Networks
  • Clustering Methods: K-Means, K-Medoids, Mean-Shift, HAC & DBSCAN
  • Dimension reduction: PCA & LDA
  • Neural Networks: Perceptron
  • Concepts of visualization for getting insights
  • Data Connecting, Manipulations in Data source view
  • Working with views, Show me, Marks Cards
  • Filtering and Sorting in views
  • Working with geographical data
  • Joining vs Blending vs Unions
  • Calculated Fields & Table Calculations
  • Bin, Parameter, Group
  • Dashboard and Storytelling
  • Type of Charts
Requirements
  • Logical and Mathematical Aptitude
  • Knowledge of a programming Language is a plus
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Description

Why ACL?

ACL Academy offers right IT professional courses with competent and experienced IT trainers. We have a wide variety of IT courses, which includes both the latest and traditional technologies. From core programming languages like C/C++/Java, C#, dot net, SQL, to trending topics of data science with Python, R and big data, and also high-end tech courses like web development Django, BlockChain, DevOps, Cloud computing, AI and Machine Learning, IoT, Robotics & Automation.  Here we create career successful job-ready professionals with all-around the progress of candidates through resume preparation, job assistance, improved presentation, communication skills, and interview preparation techniques. Our intermingled learning approach combines classroom training, online classes, instructor-led live virtual classrooms, project work, and teaching assistants. We at ACL IT Academy understand and believe in building a personal relationship while helping you make your professional career.

You will experience state-of-the-art infrastructure Labs with audio-visual and tele-video conference aids. We arrange small class size for focused instruction with real-life project exposure. We also facilitate onsite library and web-based e-library and a students’ Learning Management System.

Course Overview

With the fast emergence of various competing businesses in similar domains, Business Intelligence has fast become a favorite topic of study among those wishing to study market trends & business statistics. Business Intelligence helps business owners make informed decisions based on available, processed data & information. It involves a set of processes, tools, technologies & methodologies to integrate data from various data sources & make the single data source available so that better strategic decisions that will yield competitive advantages can be made. A business intelligence specialist can have various tasks like managing all type of business risks, understanding the organization’s current position compared to its competitors, understanding customer segmentation, product analysis & providing solution for operational improvements, understanding customer behavior to expand markets, identifying selling markets better & identifying & resolving the problem area of the organization.

Career Opportunity

Data scientists are the best domain to focus on for analysts right now.

  • Data Scientists are very much wanted professionals in recently emerging domains like Big Data Analytics and IT. Experts are predicting that about 35-40 zettabytes of data will be in generated by 2020, and Data Science career opportunities will only increase in that time. Due to being a relatively newer domain, shortage of skilled data scientists has led to the huge demand for Data Scientists in start-ups as well as well-established companies.
  • A Glassdoor survey shows that Data scientists lead the salary packages among all analysts. The median salary for data scientists is about 6-7 LPA and there are over 2000 job openings posted on Glassdoor alone. These surveys also report high vacancies for these posts, due to the fast emergence of large amounts of data.
  • Data scientists have to learn various skills, therefore their employ-ability extends to various profiles like Data architect, Data Analyst, Business Analyst, Data administrator, Business intelligence specialists, etc. Gaining employ-ability as a Data Scientist is very easy. Data scientists also help in the development of machine learning algorithms & data trend visualizations.
  • Since data science requires mastery over several domains, skills required for this are also various. A good data scientist must be proficient in quick & critical thinking, deep learning & AI methodologies, coding with deep knowledge of statistics & linear algebra, & working knowledge of databases. Therefore, with data science, you gain expertise over a lot of fields.

Currently, Business Intelligence is one of the hottest innovations in the market

  • According to a report by Zion Research, the global Business Intelligence market is expected to generate US$26.50 billion by 2021. These figures show that the industry is a new albeit lucrative one. Business Intelligence jobs, being within the domain of business administration, usually generate higher revenues & typically provide higher salaries.
  • A mastery in Business Intelligence is not desirable from business analysts. Other posts like Business Intelligence Analyst, Business Intelligence Project Manager, Business Intelligence Developer, Business Intelligence Administrator & Business Intelligence Moderator, all require BI based skills.
  • BI is nowadays used in software development & social welfare initiatives also. BI has already found wide use in healthcare, retail, government projects, etc. BI has been found to be a versatile technology that has seen various uses in various domains over the years, & it is not going away anytime soon.
  • A Business Intelligence Specialist can seek employment in any of the following fields: Data Scientist, Business Intelligence Manager, Data Architect, Business Intelligence Architect, etc.
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About The Instructor
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  • 7 Students
  • 35 Courses
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Includes:
  • 00:00:00 Hours On Demand Videos
  • 84 Lessons
  • Full Lifetime Access
  • Access On Mobile And Tv