ACL Data Science PRO

A Data Scientist can have various tasks like managing all type of business risks, understanding the organization’s current position compared to its competitors, customer segmentation, product analysis & providing solution for operational improvements.

Advanced 0(0 Ratings) 7 Students Enrolled
Created By Acl Academy Last Updated Tue, 31-Mar-2020 English
What Will I Learn?

Curriculum For This Course
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
  • 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
  • Introduction to Hadoop
  • Hadoop Architecture
  • Hadoop Administration
  • Hadoop Components
  • Programming with Scala
  • Working with Spark
Requirements
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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

Data science is a multidisciplinary combination of statistics, data inference, critical thinking & algorithms to solve complex problems involving huge quantities of data. It uses a blend of all of the above and machine learning principles in order to discover hidden patterns from raw data using exploratory analysis. These actionable insights help to identify repeated occurrences of a particular event in the future, hence these are very valuable to product-based companies. More and more companies are taking the help of data science & data analytics to drive their business growth and gain an advantage over their competitors.

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 employment extends to various profiles like Data architect, Data Analyst, Business Analyst, Data administrator, Business intelligence specialists, etc. Gaining employment 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.
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  • 37 Courses
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  • Full Lifetime Access
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