Core Data Science
This part of data science training covers overview of data science. In addition, terminologies & applications within data science along with 3 excercizes.
Python For Data Science
Don’t know python? No worries – we got your back. We will teach right from basics of python so even if you don’t know python, you would still be able to make it.
Statistics For Data Science
Our instructor is a master statistician & will help you easily understand and master statistics even though you are not good with maths.
Predictive Modeling & Analytics
Training covers detailed practical process & execution. Master logical regressions, modeling. Master Principles of Predictive analytics.
Machine Learning
Learn to create machine learning algorithms in python. Master making robust machine learning models & using them to solve any complex problems.
Visualization With TABLEAU
Master various features of tableau. Create & design the visualizations for your audience. Learn to combine the data & practices to present your story
Data Science With R-programming
Master how to use R programming for data science, machine learning & visualization. Use R in data analysis, data manipulation, handle files & web scraping.
Deep Learning
If you wanna begin your deep learning journey then this course is great for you. It is designed in easiest way such that you don’t get bogged down unnecessarily.
SQL
Best way to learn SQL is by practicing it. Install free open source database & start writing and running simple queries using data. MYSQL is a free popular database that is compatible with most operating systems.
You will Learn all these Topics:
Module 1. Analytics
1. What are analytics?
2. What are different types of analytics?
3. What is the scope of analytics?
4. Roles of analytics in business
5. Analytics in Excel – hands on
Module 2. Statistics
1. Basic statistics – Data, types of data and its functionalities
2. Descriptive Statistics – concepts and practical
3. Advance Statistics – concepts and practical
4. Inferential statistics – concepts and practical
5. Statistical algorithms – concepts and practical
6. statistics in excel – hands on
Assignments and 2 real industrial statistics case studies.
Module 3. Python
1. Basics of python (with practical hands on)
2. Data types of python (with practical hands on)
3. Operators in python (with practical hands on)
4. Loops of python
5. Control flow in python
6. Functions in python
7. Python Libraries – pandas, numpy and sckitlearn, matplotlib, seaborn, stas module
8. Data analysis using Pandas
9. Feature engineering using pandas, matplotlib, numpy, seaborn
Assignments & projects on python.
Module 4. Machine Learning
1. What is machine learning
2. types of machine learning
3. Applications of machine learning
4. Algorithms of machine learning
5. Machine learning algorithms using python and excel
6. supervised machine learning – (concepts and hands on) (regressions and classifications) – linear, polynomial, multiple, KNN, decision tree, random forest
7. unsupervised machine learning – (concepts and hands on) – (clustering, PCA, LDA) K-means, hierarchical clustering
8. Data apps in python using machine learning
Projects and real case studies on machine learning.
Module 5. R Programming
1. Basics of R
2. Data types of R
3. Loops of R
4. Visualization in R
5. Machine learning and data analysis in R
6. Regression in R – linear and multiple
7. Classification in R – KNN, logistic
8. Clustering in R – K Means and hierarchical clustering
Assignments and projects on R.
Module 6. Structured Query Language
1. Introductions to database and its concepts
2. Introduction to Querying – knowing of syntax
3. SQL Joins and operators
4. Tables creations, Update Dates and aggregations and string functions
5. Modifying databases with SQL
6. Data wrangling and analysis with SQL
Assignments and projects for SQL.
Module 7. Tableau
1. Introduction to visualization
2. Concepts on different charts and graphs
3. Tableau application setup and understanding
4. Concepts of tableau – filters, joins, hierarchy, groups, sets
5. Charts and dashboards in tableau
6. Calculated field and parameters in tableau
7. Forecasting and clustering in tableau
8. Business stories in tableau
Assignments and projects for tableau.
ADD ON BENEFITS
CV Revision in a professional approach.Provided Practical oriented course material for all the topics.
After completing the course we provide an ISO Certified Professional Certificate also.
We provide 100% Placement Assistance.
We provide life time support after completing the course.
Fees & Batch Details :
Regular Batch : 3 Months.*
Weekend Batch : 24-26 Sundays.*
Fast Track : 1.5 Month (Full Time Class)*
Fees : CALL US FOR BEST DISCOUNT AND OFFERS.
Payments can be made by Cheque/Draft/Bank Transfer/Credit /Debit Card /Deposits in Axis Bank
Account Name : MEGARA INFOTECH PVT. LTD.
Bank- Account No : 9220 20004 305261
IFSC Code — UTIB0000056
Sector-14, Gurgaon, – 122001 Branch.
MEGARA INFOTECH PVT. LTD.
Address : M-46, Old DLF Colony, Sector-14,Gurgaon (HR)
Mob: +91-9999 858 239 / +91-706 573 7300, Tel: 0124-4058233.
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Note:- Online Live Practical Training is Available in Gurgaon, Delhi, Ghaziabad, Faridabad, Noida, Mathura, Agra, Mumbai, Jaipur, Chandigarh, Bangalore, Chennai, Pune, Lucknow, Kolkata, Bhopal, Hyderabad, (Pan India)
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