Nasscom Certified Associate Analytics Program

PROGRAM OVERVIEW

Data analyst certification program with NASSCOM certification (based on assessment). This gives an end-to-end understanding of data science covering data analytics, Machine Learning, visualization, soft skills and much more

 

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CURRICULUM

MODULE 1 : Data Science with R, Python & Machine Learning

SQL

Basics of Database, Types of Databases, DDL, DML, Select, Insert, Update, Delete
Joins, nth highest
Assessments:- Assignment of SQL

R Programming 

 Vector, Matrix, Array, List, DataFrame, Factors
File Handling (upload, download), connecting with database
Functions (Custom/user defined)
Apply Family, Graphs with R
Assessments:- Assignment of R

Python

IDE of Python, Basics of Python, Control Structure, String, Number
List, Dictionary, Sets, Tuples, file handling, functions
Numpy, regular expressions
Pandas, Graphs( Matplotlib), init
Assessments:- Assessment of Python

Statistics 

Descriptive Analytics (mean, median, mode, AM, GM, HM, Quartile, Percentile, Decile, Box plot, range, MD, SD, Variance)
Covariance, Correlation, skewness, kurtosis
Hypothesis Testing (p value)( T-test, Z-test, F-test)
Regression Analysis( simple, mutiple, linear, non linear)
Assessments:- Assessment of Statistics

ML 

Classification( training, test, ROC, confusion matrix),KNN, Decision Tree
Probability, Bayes Theorem, Naive Bayes classifier
ANN, CNN, RNN
Clustering(K-Means), Association Mining
Time Series Analysis( differencing, MA, AR, ARMA, ARIMA, exponential smoothing)
Assessments:- Assessment of ML

Excel  

VBA, Graphs

Excel 

Formulas in Excel
Assessments:- Excel Assignment

Documents  

Word, Microsoft powerpoint, Microsoft Vision
Assessments:- Assessment of Word Doccuments

Assignment

10 Assignment;One Each Topics

Test Series  

2 Full Test

MODULE 2 : Big Data with Hadoop and Spark

Hadoop 

HDFS Architecture( HDFS, YARN, MapReduce, namenode, datanode)/Cloudera
HDFS Commands
HIVE Architecture
Hive Query Language ( DDL, DML, joins, map, dictionary)
HBASE (Hbase architecture)
PIG
Assessments:- Assessment of Hadoop
Assessment of Hive

Spark   

Flume/Sqoop/ Oozie
Spark Architecture
Spark Streaming
SparkSQL/Pyspark/SparkR
Assessments:- Assessment of Spark
Assessment of Flume & Sqoop

Assignment   

04 Assignment;One Each Topics

Test Series   

01 Full Test

MODULE 3 : Data Visulaization with Tableau

Tableau 

Tableau Desktop, Tableau products, Dimensions, Measures, Filters, Marks, Dual Axis,
LOD expressions, Storyline, maps, market maps, Tableau preference scripts, connecting to different data sources
Dashboard Designing, Dashboard Actions, Extract, Live connection
Assessments:-  Tableau Assessment

Assignment 

02 Assignment;One Each Topics

Test Series  

01 Full Test

MODULE 4 : Soft Skills Training

Soft Skills  

Understands the Verticals-Engineering, Financial & Others
Manage your work to meet requirements
Work Effectively with Colleagues
Maintain Healthy, Safe & Secure Working Environment
Provide Data/Information in Standard Formats
Working with documents
Develop Knowledge, Skill & Competence
Assessments:-  Assessment-01
Assessment-02
Assessment-03
Assessment-04

Assignment  

04 Assignment;One Each Topics

Test Series 

02 Full Test

PROJECT & TRAINING

Our live-projects offering prepares you for a range of analytics offerings in data science domain. For this course we would work on these projects:

  1. Time Series Analysis: Forecasting the stock price data using different time series algorithms like ARIMA, HW, EWMA etc in R
  2. Text Analytics: Appling Text Analytics on text data (twitter, online) and calculating polarization, complex words, fog index, text clusteting, text classification in Python
  3. CNN on Image Data: Applying deep learning in image processing, classification and identifying features in Python
  4. Data Cleaning and Manipulation in R and preparing different visualization on Retail data
  5.  Building Data Pipeline (Hadoop|Hive|Spark): Building a data pipeline using RDBMS, creating aggration engine in HIVE and Spark-SQL and final visualization in Tableau of the aggregated data using BFSI data
  6.  Data visualization: Country wise population and literacy rate analysis at district level. Geo-Spatial Analysis, action filters, basic design elements, calculated fields etc would be covered in this exercise
  7.  Soft Skills: Group projects where students will apply their learn skills by planning, organizing and documenting and giving presentation on the given topics and training they have undertaken.

SAMPLE CERTIFICATE

 

USP OF PROGRAM

Curriculum created by the industry experts in collaboration with NASSCOM keeping in mind the industry needs
State-of-the-art infrastructure and fully equipped labs
Training delivered by certified and experienced trainers and industry experts
100% Instructor-Led Classroom Training
NASSCOM SSC official study material
Assessment & Certification from NASSCOM IT-ITeS
Globally Recognized Certificate
Interview Preparation.
Placement Assistance.

FAQ

What is this program about ?

This program covers a wide array of data science modules and also provides a NASSCOM certification on successfully clearing an online assessment exam.

What is course duration ?

The course duration is approximately 400 hours

Do we get any reading material for this course?

We’ll provide reading material provided by NASSCOM and a lot of help material in form of e-books and references.

How does NASSCOM certificate help me ?

NASSCOM certification in analytics gives you a huge credibility in the data science field. This certificate is approved globally too.